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Dissertations / Theses on the topic 'Perceptrons'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kallin, Westin Lena. "Preprocessing perceptrons." Doctoral thesis, Umeå : Univ, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-234.

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2

Filho, Osame Kinouchi. "Generalização ótima em perceptrons." Universidade de São Paulo, 1992. http://www.teses.usp.br/teses/disponiveis/54/54131/tde-07042015-165731/.

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O perceptron tem sido estudado no contexto da física estatística desde o trabalho seminal de Gardner e Derrida sobre o espaço de aclopamentos desta rede neural simples. Recentemente, Opper e Haussler calcularam via método de réplicas, o desempenho ótimo teórico do perceptron na aprendizagem de uma regra a partir de exemplos (generalização). Neste trabalho encontramos a curva de desempenho ótimo após a primeira apresentação dos exemplos (primeiro passo da dinâmica de aprendizagem). No limite de grande número de exemplos encontramos que o erro de generalização é apenas duas vezes maior que o err

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3

Adharapurapu, Ratnasri Krishna. "Convergence properties of perceptrons." CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1034.

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4

Friess, Thilo-Thomas. "Perceptrons in kernel feature spaces." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327730.

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5

Zhao, Lenny. "Uncertainty prediction with multi-layer perceptrons." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0018/MQ55733.pdf.

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6

Mourao, Kira Margaret Thom. "Learning action representations using kernel perceptrons." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7717.

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Action representation is fundamental to many aspects of cognition, including language. Theories of situated cognition suggest that the form of such representation is distinctively determined by grounding in the real world. This thesis tackles the question of how to ground action representations, and proposes an approach for learning action models in noisy, partially observable domains, using deictic representations and kernel perceptrons. Agents operating in real-world settings often require domain models to support planning and decision-making. To operate effectively in the world, an agent mu

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7

Black, Michael David. "Applying perceptrons to speculation in computer architecture." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6725.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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8

Cairns, Graham Andrew. "Learning with analogue VLSI multi-layer perceptrons." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296901.

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9

Grandvalet, Yves. "Injection de bruit dans les perceptrons multicouches." Compiègne, 1995. http://www.theses.fr/1995COMPD802.

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Lors de l'estimation d'une fonction de régression, la sélection d'un modèle est une étape clef. Elle détermine la complexité du modèle généralisant au mieux les données, i. E. Minimisant l'erreur en prédiction. Dans les perceptons multicouches, la complexité peut être réglée en modifiant l'architecture du réseau. Mais il est également possible de la contrôler à architecture fixée. Les méthodes employées consistent à ajouter au critère d'erreur, explicitement ou non, un terme pénalisant la complexité de la solution. La notion de paramètres effectifs supplante alors celle de paramètres. Parmi ce

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10

Octavian, Stan. "New recursive algorithms for training feedforward multilayer perceptrons." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/13534.

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11

Barbato, Daniela Maria Lemos. "Estudo analítico do efeito da diluição em perceptrons." Universidade de São Paulo, 1998. http://www.teses.usp.br/teses/disponiveis/76/76131/tde-05052008-172548/.

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Perceptrons são redes neurais sem retroalimentação cujos os neurônios estão dispostos em camadas. O perceptron considerado neste trabalho consiste de uma camada de N neurônios sensores Si = 1; i = 1,.... N ligados a um único neurônio motor através das conexões sinápticas , Ji; i = 1, .... N. Utilizando o formalismo da Mecânica Estatística desenvolvido por Gardner e colaboradores, estudamos os efeitos da eliminação de uma fração dos pesos sinápticos (diluição) nas capacidades de aprendizado e generalização de dois tipos de perceptrons, a saber, o perceptron linear e o perceptron Booleano. No

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12

Karouia, Mohamed. "Initialisation et détermination de l'architecture des perceptrons multicouches." Compiègne, 1996. http://www.theses.fr/1996COMPD879.

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Le premier problème étudié dans cette thèse concerne l'initialisation des poids des perceptrons multicouches. Une nouvelle méthode a été proposée dans le cas particulier des problèmes de discrimination. Cette méthode utilise les facteurs discriminants issus d'une technique d'analyse factorielle discriminante de nature paramétrique ou non-paramétrique. Une étude expérimentale a permis de mettre en évidence une réduction du temps d'apprentissage et une amélioration sensible des performances en généralisation par rapport à l'initialisation aléatoire et, dans une moindre mesure, par rapport à l'in

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13

Marchi, Rodrigo Andreoli de. "Aplicação do perceptron de múltiplas camadas no controle direto de potência do gerador de indução duplamente alimentado." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258919.

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Orientadores: Edson Bim, Fernando José Von Zuben<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-18T01:48:41Z (GMT). No. of bitstreams: 1 Marchi_RodrigoAndreolide_M.pdf: 5160130 bytes, checksum: 8e043b48f5cd0e86cc078b3adc27f74b (MD5) Previous issue date: 2011<br>Resumo: Neste trabalho é apresentada a estratégia de Controle Direto de Potência para o Gerador de Indução Duplamente Alimentado utilizando um controlador Perceptron de Múltiplas Camadas. O controlador tem a função de gerar os sinai

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14

Bartz, Michael. "Soft decision decoding of block codes using multilayer perceptrons." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15391.

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15

Bueno, Felipe Roberto 1985. "Perceptrons híbridos lineares/morfológicos fuzzy com aplicações em classificação." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306338.

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Orientador: Peter Sussner<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T15:06:30Z (GMT). No. of bitstreams: 1 Bueno_FelipeRoberto_M.pdf: 1499339 bytes, checksum: 85b58d8b856fafa47974349e80c1729e (MD5) Previous issue date: 2015<br>Resumo: Perceptrons morfológicos (MPs) pertencem à classe de redes neurais morfológicas (MNNs). Estas redes representam uma classe de redes neurais artificiais que executam operações de morfologia matemática (MM) em cada nó, possivelmente seguido pe

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Goosen, Johannes Christiaan. "Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen." Thesis, North-West University, 2011. http://hdl.handle.net/10394/5552.

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In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), but are considered black boxes with regard to interpretability. There is currently no simple a priori method to determine the number of hidden neurons in each of the hidden layers of ANNs. Guidelines exist that are either heuristic or based on simulations that are derived from limited experiments. A modified version of the neural network construction with cross–validation sa

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17

Devouge, Claire. "Quelques aspects mathématiques de l'auto-organisation neuronale et des perceptrons multicouches." Paris 11, 1992. http://www.theses.fr/1992PA112268.

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Cette these est consacree a l'etude mathematique de deux types de reseaux de neurones et se compose de deux parties distinctes. La premiere partie est centree sur le perceptron multicouche, et plus particulierement sur les problemes de convexite de la fonction d'erreur. Nous montrons que des conditions assez faibles suffisent a assurer cette convexite pour tous les perceptrons sans couche cachee, tandis que la convexite devient impossible pour les perceptrons a une couche cachee et plus, meme en tenant compte du groupe des transformations geometriques qui laissent l'erreur invariante. Nous pro

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18

PERROTTA, DOMENICO. "Apports de l'analyse bayesienne aux methodes d'apprentissage des perceptrons multi-couches." Lyon, École normale supérieure (sciences), 1997. http://www.theses.fr/1997ENSL0042.

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Ce memoire de these est consacre a l'etude theorique et experimentale des apports de l'approche bayesienne dans les methodes d'apprentissage des perceptrons multicouches. Plus precisement, nous avons etudie le formalisme et les methodes introduites dans le domaine des reseaux de neurones par david mackay (1992). Nous nous sommes interesses en particulier a certains aspects theoriques et methodologiques de ce cadre qui sont contestes par beaucoup de specialistes connexionnistes ou bayesiens. Par ailleurs, la place occupee par la methode de d. Mackay parmi les diverses techniques bayesiennes eta

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Papadopoulos, Georgios. "Theoretical issues and practical considerations concerning confidence measures for multi-layer perceptrons." Thesis, University of Edinburgh, 2000. http://hdl.handle.net/1842/12753.

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The primary aim of this thesis is to study existing CM methods and assess their practicability and performance in harsh real-world environments. The motivation for this work was a real industrial application - the development of a paper curl prediction system. Curl is an important paper quality parameter that can only be measured after production. The available data were sparse and were known to be corrupted by gross errors. Moreover, it was suspected that data noise was not constant over input space. Three approaches were identified as suitable for use in real-world applications: maximum like

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Carlsson, Leo. "Using Multilayer Perceptrons asmeans to predict the end-pointtemperature in an Electric ArcFurnace." Thesis, KTH, Materialens processteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-182288.

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21

Cardoso, Maria Eduarda de Araújo. "Segmentação automática de Expressões Faciais Gramaticais com Multilayer Perceptrons e Misturas de Especialistas." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-25112018-203224/.

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O reconhecimento de expressões faciais é uma área de interesse da ciência da computação e tem sido um atrativo para pesquisadores de diferentes áreas, pois tem potencial para promover o desenvolvimento de diferentes tipos de aplicações. Reconhecer automaticamente essas expressões tem se tornado um objetivo, principalmente na área de análise do comportamento humano. Especialmente para estudo das línguas de sinais, a análise das expressões faciais é importante para a interpretação do discurso, pois é o elemento que permite expressar informação prosódica, suporta o desenvolvimento da estrutura gr

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22

Lehalle, Charles-Albert. "Contrôle non linéaire et Réseaux de neurones formels : les Perceptrons Affines Par morceaux." Paris 6, 2005. https://tel.archives-ouvertes.fr/tel-00009592.

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ARAÚJO, Ricardo de Andrade. "Proposta de uma Classe de Perceptrons Híbridos com Aprendizagem baseada em Gradiente Descendente." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/2842.

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Made available in DSpace on 2014-06-12T16:01:32Z (GMT). No. of bitstreams: 2 arquivo9424_1.pdf: 5898735 bytes, checksum: 20e8579169a2c3b8e6d53fd877a5cd17 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2012<br>Este trabalho apresenta uma classe de perceptrons híbridos baseado nos princípios da morfologia matemática (mathematical morphology, MM) no contexto de teoria de reticulados (lattice theory). O modelo proposto, chamado de perceptron de dilatação-erosão-linear (dilationerosion- linear perceptron, DELP), consiste de uma combinaçã

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Diouf, Daouda. "Méthode mixte d'inversion neuro-variationnelle d'images de la couleur de l'océan : Application aux signaux SeaWIFS au large de l'Afrique de l'Ouest." Paris 6, 2012. http://www.theses.fr/2012PA066181.

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Les capteurs optiques, destinés à observer l’océan depuis l’espace, mesurent le rayonnement solaire réfléchi vers l’espace par le système océan-atmosphère. La réflectance marine intéressante pour l’analyse de l’océan représente en moyenne au plus 10% de la lumière totale reçue par le capteur et est obtenue à l’issue du processus de correction atmosphérique. L’inversion de ce signal marin permet d’obtenir les paramètres géophysiques intéressants pour l’étude de l’océan, tels que la concentration en chlorophylles-a, pigment principal du phytoplancton. En général la difficulté des algorithmes sta

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25

Rountree, Nathan, and n/a. "Initialising neural networks with prior knowledge." University of Otago. Department of Computer Science, 2007. http://adt.otago.ac.nz./public/adt-NZDU20070510.135442.

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This thesis explores the relationship between two classification models: decision trees and multilayer perceptrons. Decision trees carve up databases into box-shaped regions, and make predictions based on the majority class in each box. They are quick to build and relatively easy to interpret. Multilayer perceptrons (MLPs) are often more accurate than decision trees, because they are able to use soft, curved, arbitrarily oriented decision boundaries. Unfortunately MLPs typically require a great deal of effort to determine a good number and arrangement of neural units, and then require many p

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Satravaha, Nuttavudh. "Tone classification of syllable-segmented Thai speech based on multilayer perceptron." Morgantown, W. Va. : [West Virginia University Libraries], 2002. http://etd.wvu.edu/templates/showETD.cfm?recnum=2280.

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Thesis (Ph. D.)--West Virginia University, 2002.<br>Title from document title page. Document formatted into pages; contains v, 130 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 107-118).

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27

Lehalle, Charles-Albert. "Le contrôle non linéaire par réseaux de neurones formels: les perceptrons affines par morceaux." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2005. http://tel.archives-ouvertes.fr/tel-00009592.

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Le but de ce travail est d'exposer de nouveaux résultats concernant l'utilisation d'une classe particulière de réseaux de neurones formels (les Perceptrons Affines Par morceaux: PAP) dans le cadre du contrôle optimal en boucle fermée. Les résultats principaux obtenus sont: plusieurs propriétés des PAP, concernant la nature des fonctions qu'ils peuvent émuler, un théorème constructif de représentation des fonctions continues affines par morceaux, qui permet de construire explicitement un PAP à partir d'une collection de fonctions affines, une série d'heuristiques pour l'apprentissage des paramè

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Dimopoulos, Ioannis. "La mise en oeuvre des modèles statistiques linéaires et non linéaires en sciences de l'environnement." Toulouse 3, 1997. http://www.theses.fr/1997TOU30096.

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Ce travail etudie quelques approches, difficultes et questions portant sur les differentes etapes de la mise en uvre d'un modele statistique. Il presente d'abord quelques analyses permettant d'obtenir une premiere idee de la classe de modeles a laquelle celui qui est recherche a le plus de chance d'appartenir. Il s'interesse ensuite au probleme de la selection d'un modele parmi plusieurs candidats. Deux grandes classes de methodes permettant cette selection sont discutees. Les methodes de la premiere classe sont basees sur une estimation de la performance du modele en generalisation, tandis qu

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Shepherd, Adrian John. "Novel second-order techniques and global optimisation methods for supervised training of multi-layer perceptrons." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321662.

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SEPULVEDA, EDUARDO. "Etude de la generalisation dans les perceptrons multi-couche : application a la reconnaissance des formes." Paris 6, 1994. http://www.theses.fr/1994PA066442.

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Cette these traite des reseaux de neurones et leur application aux problemes de reconnaissance des formes. L'inexistence de solution mathematique a ces problemes font de l'outil reseau de neurones une alternative aux solutions classiques ou les principaux inconvenients sont l'absence de connaissance des distributions statistiques des formes et la grande dimensionalite des donnees. Les methodes connexionnistes permettent d'aborder ces problemes sans avoir a priori besoin de connaitre la statistique du probleme concerne. Dans un premier temps nous avons utilise les reseaux de neurones pour essay

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Rouleau, Christian. "Perceptron sous forme duale tronquée et variantes." Thesis, Université Laval, 2007. http://www.theses.ulaval.ca/2007/24492/24492.pdf.

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L’apprentissage automatique fait parti d’une branche de l’intelligence artificielle et est utilisé dans de nombreux domaines en science. Il se divise en trois catégories principales : supervisé, non-supervisé et par renforcement. Ce mémoire de maîtrise portera uniquement sur l’apprentissage supervisé et plus précisément sur la classification de données. Un des premiers algorithmes en classification, le perceptron, fut proposé dans les années soixante. Nous proposons une variante de cet algorithme, que nous appelons le perceptron dual tronqué, qui permet l’arrêt de l’algorithme selon un nouveau

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Bengio, Yoshua. "Connectionist models applied to automatic speech recognition." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63920.

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Enes, Karen Braga. "Uma abordagem baseada em Perceptrons balanceados para geração de ensembles e redução do espaço de versões." Universidade Federal de Juiz de Fora (UFJF), 2016. https://repositorio.ufjf.br/jspui/handle/ufjf/4883.

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Béal, Sylvain. "Jeux de machines et réseaux sociaux." Saint-Etienne, 2005. http://www.theses.fr/2005STETT073.

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Un dilemme social est un jeu non-coopératif qui possède un unique équilibre socialement inefficace sur lequel les joueurs encaissent leur gain minmax. Cette thèse propose de contourner un dilemme social en le répétant un nombre fini de fois et en limitant les capacités des joueurs à implémenter des stratégies. Précisément, nous supposons que les joueurs doivent choisir des stratégies calculables par une machine. L'automate est l'une de ces machines. Pour les situations à deux joueurs, nous considérons le jeu du dilemme du prisonnier répété un nombre fini de périodes. Lorsque les ressources des

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Thomas, Philippe. "Contribution à l'identification de systèmes non linéaires par réseaux de neurones." Nancy 1, 1997. http://docnum.univ-lorraine.fr/public/SCD_T_1997_0030_THOMAS.pdf.

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Cette thèse est consacrée à l'identification de systèmes dynamiques non-linéaires SISO et MISO à l'aide de réseaux de neurones multicouches non-récurrents. Dans un premier temps, une présentation succincte de l'ensemble des méthodes d'identification non-linéaire est effectuée. Nous poursuivons notre étude par un bref historique des réseaux de neurones ainsi que par une présentation des divers modèles neuronaux existants. Une fois posé le cadre de ce travail, nous définissons plus particulièrement l'architecture générale du réseau de neurone retenu, puis nous présentons les algorithmes permetta

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Barbosa, Itamar Magno. "Estudo das dispersões metrológicas em redes neurais artificiais do tipo Multilayer Perceptrons através da aplicação em curvas de calibração." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-12082010-113757/.

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Este trabalho é um estudo das dispersões metrológicas em aproximações de funções tidas como não conhecidas ou não totalmente conhecidas. A metodologia alternativa para esse fim são as redes neurais artificiais do tipo Multilayer Perceptrons (MLP), aqui utilizadas como aproximadoras de funções. As funções aproximadas são curvas de calibração decorrentes de indicações de instrumentos ou sistemas de medição numa calibração. Essas curvas levam consigo propriedades metrológicas e possuem, neste trabalho, papel de ponte entre os elementos considerados da teoria metrológica e os elementos considerado

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Villa-Vialaneix, Nathalie. "Eléments d'apprentissage en statistique fonctionnelle : classification et régression fonctionnelles par réseaux de neurones et Support Vector Machine." Toulouse 2, 2005. http://www.theses.fr/2005TOU20089.

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Dans ce travail, nous présentons d'abord les résultats d'un travail interdisciplinaire dans lequel nous avons utilisé les qualités d'adaptation des perceptrons multi-couches pour la prédiction de cartes géographiques d'occupation du sol. Dans la suite de la thèse, nous nous focalisons sur la généralisation de l'utilisation des réseaux de neurones et des SVM au traitement de données fonctionnelles. Le but est de disposer d'outils non linéaires pour l'étude de ce type de données. Une partie de nos travaux est basée sur une approche semi-paramétrique utilisant une généralisation de la méthode de

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Harkouss, Youssef. "Application de réseaux de neurones à la modélisation de composants et de dispositifs microondes non linéaires." Limoges, 1998. http://www.theses.fr/1998LIMO0040.

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Le developpement d'une nouvelle approche de la modelisation de composants et de dispositifs microondes non lineaires basee sur une representation par reseau neuronal constitue le theme essentiel de cette these. L'objectif de ce travail consiste d'une part a creer un outil efficace et rapide pour construire des modeles neuronaux performants et d'autre part a montrer a travers des applications pratiques la performance et la precision d'une telle representation comportementale. Nous avons envisage deux types de modeles neuronaux. Le premier est base sur un perceptron multicouche mlp entraine par

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Djupfeldt, Petter. "Dr. Polopoly - IntelligentSystem Monitoring : An Experimental and Comparative Study ofMultilayer Perceptrons and Random Forests ForError Diagnosis In A Network of Servers." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191557.

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This thesis explores the potential of using machine learning to superviseand diagnose a computer system by comparing how Multilayer Perceptron(MLP) and Random Forest (RF) perform at this task in a controlledenvironment. The base of comparison is primarily how accurate theyare in their predictions, but some thought is given to how cost effectivethey are regarding time. The specific system used is a content management system (CMS)called Polopoly. The thesis details how training samples were collectedby inserting Java proxys into the Polopoly system in order to time theinter-server method calls.

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Collobert, Ronan. "Algorithmes d'Apprentissage pour grandes bases de données." Paris 6, 2004. http://www.theses.fr/2004PA066063.

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Ferronato, Giuliano. "Intervalos de predição para redes neurais artificiais via regressão não linear." Florianópolis, SC, 2008. http://repositorio.ufsc.br/xmlui/handle/123456789/91675.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.<br>Made available in DSpace on 2012-10-24T01:24:51Z (GMT). No. of bitstreams: 1 258459.pdf: 252997 bytes, checksum: a0457bb78b352c0aab2bb1f48ab79985 (MD5)<br>Este trabalho descreve a aplicação de uma técnica de regressão não linear (mínimos quadrados) para obter predições intervalares em redes neurais artificiais (RNA#s). Através de uma simulação de Monte Carlo é mostrada uma maneira de escolher um ajuste de parâmetros (pesos) para uma rede neural, de acordo

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Silva, Carlos Alberto de Albuquerque. "Implementa??o de uma matriz de neur?nios dinamicamente reconfigur?vel para descri??o de topologias de redes neurais artificiais multilayer perceptrons." Universidade Federal do Rio Grande do Norte, 2015. http://repositorio.ufrn.br/handle/123456789/21138.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-08-09T22:51:25Z No. of bitstreams: 1 CarlosAlbertoDeAlbuquerqueSilva_TESE.pdf: 4568486 bytes, checksum: 5ddf18d55603ffd49ea2899025e1615f (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-08-10T23:15:49Z (GMT) No. of bitstreams: 1 CarlosAlbertoDeAlbuquerqueSilva_TESE.pdf: 4568486 bytes, checksum: 5ddf18d55603ffd49ea2899025e1615f (MD5)<br>Made available in DSpace on 2016-08-10T23:15:49Z (GMT). No. of bitstreams: 1 CarlosAlbertoDeAlbuquerqueSilva_TESE.pdf: 4568486 bytes, che

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Silva, William de Medeiros. "Redes neurais artificiais como ferramenta para prognose de crescimento e melhoramento genético florestal /." Jaboticabal, 2019. http://hdl.handle.net/11449/190673.

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Orientador: Rinaldo Cesar de Paula<br>Resumo: RESUMO – O eucalipto é a cultura de maior destaque para o setor florestal brasileiro. No entanto, a expansão do setor para áreas com condições climáticas limitantes ao desenvolvimento da cultura e a instabilidade climática atual, são alguns dos fatores que têm comprometido o desenvolvimento desta cultura no país nos últimos anos. Assim, é importante a busca contínua por ferramentas que possibilitem a prognose de crescimento, a seleção de indivíduos e famílias e a análise do comportamento de genótipos de eucalipto frente às variações ambientais de f

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Coughlin, Michael J., and n/a. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks." Griffith University. School of Applied Psychology, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030409.110949.

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The electro-oculogram (EOG) is the most widely used technique for recording eye movements in clinical settings. It is inexpensive, practical, and non-invasive. Use of EOG is usually restricted to horizontal recordings as vertical EOG contains eyelid artefact (Oster & Stern, 1980) and blinks. The ability to analyse two dimensional (2D) eye movements may provide additional diagnostic information on pathologies, and further insights into the nature of brain functioning. Simultaneous recording of both horizontal and vertical EOG also introduces other difficulties into calibration of the eye moveme

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Coughlin, Michael J. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365854.

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The electro-oculogram (EOG) is the most widely used technique for recording eye movements in clinical settings. It is inexpensive, practical, and non-invasive. Use of EOG is usually restricted to horizontal recordings as vertical EOG contains eyelid artefact (Oster & Stern, 1980) and blinks. The ability to analyse two dimensional (2D) eye movements may provide additional diagnostic information on pathologies, and further insights into the nature of brain functioning. Simultaneous recording of both horizontal and vertical EOG also introduces other difficulties into calibration of the eye moveme

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Shao, Hang. "A Fast MLP-based Learning Method and its Application to Mine Countermeasure Missions." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23512.

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In this research, a novel machine learning method is designed and applied to Mine Countermeasure Missions. Similarly to some kernel methods, the proposed approach seeks to compute a linear model from another higher dimensional feature space. However, no kernel is used and the feature mapping is explicit. Computation can be done directly in the accessible feature space. In the proposed approach, the feature projection is implemented by constructing a large hidden layer, which differs from traditional belief that Multi-Layer Perceptron is usually funnel-shaped and the hidden layer is used as fea

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Ignatavičienė, Ieva. "Tiesioginio sklidimo neuroninių tinklų sistemų lyginamoji analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120801_133809-03141.

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Pagrindinis darbo tikslas – atlikti kelių tiesioginio sklidimo neuroninių tinklų sistemų lyginamąją analizę siekiant įvertinti jų funkcionalumą. Šiame darbe apžvelgiama: biologinio ir dirbtinio neuronų modeliai, neuroninių tinklų klasifikacija pagal jungimo konstrukciją (tiesioginio sklidimo ir rekurentiniai neuroniniai tinklai), dirbtinių neuroninių tinklų mokymo strategijos (mokymas su mokytoju, mokymas be mokytojo, hibridinis mokymas). Analizuojami pagrindiniai tiesioginio sklidimo neuroninių tinklų metodai: vienasluoksnis perceptronas, daugiasluoksnis perceptronas realizuotas „klaidos skle

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Tang, Zibin. "A new design approach for numeric-to-symbolic conversion using neural networks." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4242.

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A new approach is proposed which uses a combination of a Backprop paradigm neural network along with some perceptron processing elements performing logic operations to construct a numeric-to-symbolic converter. The design approach proposed herein is capable of implementing a decision region defined by a multi-dimensional, non-linear boundary surface. By defining a "two-valued" subspace of the boundary surface, a Backprop paradigm neural network is used to model the boundary surf ace. An input vector is tested by the neural network boundary model (along with perceptron logic gates) to determine

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Louche, Ugo. "From confusion noise to active learning : playing on label availability in linear classification problems." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4025/document.

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Les travaux présentés dans cette thèse relèvent de l'étude des méthodes de classification linéaires, c'est à dire l'étude de méthodes ayant pour but la catégorisation de données en différents groupes à partir d'un jeu d'exemples, préalablement étiquetés, disponible en amont et appelés ensemble d'apprentissage. En pratique, l'acquisition d'un tel ensemble d'apprentissage peut être difficile et/ou couteux, la catégorisation d'un exemple étant de fait plus ardu que l'obtention de dudit exemple. Cette disparité entre la disponibilité des données et notre capacité à constituer un ensemble d'apprent

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Rashidi, Abbas. "Evaluating the performance of machine-learning techniques for recognizing construction materials in digital images." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49122.

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Digital images acquired at construction sites contain valuable information useful for various applications including As-built documentation of building elements, effective progress monitoring, structural damage assessment, and quality control of construction material. As a result there is an increasing need for effective methods to recognize different building materials in digital images and videos. Pattern recognition is a mature field within the area of image processing; however, its application in the area of civil engineering and building construction is only recent. In order to develop

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