Dissertations / Theses on the topic 'Automatic networks'
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Grau, Leguia Marc. "Automatic reconstruction of complex dynamical networks." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666631.
Full textUn problema principal de la ciencia de redes es cómo reconstruir (inferir) la topología de una red real usando la señales medidas de sus unidades internas. Entender la arquitectura de redes complejas es clave, no solo para entender su funcionamiento pero también para predecir y controlar su comportamiento. Los métodos existentes se focalizan en la detección de redes no direccionales y normalmente requieren fuertes suposicio- nes sobre el sistema. Sin embargo, muchos de estos métodos no pueden ser aplicados en redes con conexiones direccionales. Para abordar este problema, en esta tesis estudiamos la reconstrucción de redes direccio- nales. En concreto, desarrollamos un método de reconstrucción basado en modelos que combina estadísticas de correlaciones de derivadas con recocido simulado. Además, desarrollamos un método basado en datos cimentado en una medida d’interdependencia no lineal. Este método permite inferir la topología de redes direccionales de osciladores caóticos de Lorenz para un subrango de la fuerza de acoplamiento y densidad de la red. Finalmente, aplicamos el método basado en datos a grabaciones electroencefalográficas de un paciente con epilepsia. Las redes cerebra- les funcionales obtenidas usando este método son consistentes con la información médica disponible.
A foremost problem in network science is how to reconstruct (infer) the topology of a real network from signals measured from its internal units. Grasping the architecture of complex networks is key, not only to understand their functioning, but also to predict and control their behaviour. Currently available methods largely focus on the detection of links of undirected networks and often require strong assumptions about the system. However, many of these methods cannot be applied to networks with directional connections. To address this problem, in this doctoral work we focus at the inference of directed networks. Specifically, we develop a model-based network reconstruction method that combines statistics of derivative-variable correlations with simulated annealing. We furthermore develop a data-driven reconstruction method based on a nonlinear interdependence measure. This method allows one to infer the topology of directed networks of chaotic Lorenz oscillators for a subrange of the coupling strength and link density. Finally, we apply the data-driven method to multichannel electroencephalographic recordings from an epilepsy patient. The functional brain networks obtained from this approach are consistent with the available medical information.
Glöckner, Reinhard Jörg. "Power transfer optimised automatic matching networks." Thesis, Northumbria University, 2009. http://nrl.northumbria.ac.uk/1622/.
Full textLi, Ping. "Neural networks for automatic arc welding." Thesis, University of Liverpool, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284264.
Full textRivera, Corban G. "Automatic Reconstruction of the Building Blocks of Molecular Interaction Networks." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/28752.
Full text- cellular wiring diagrams can be decomposed into overlapping modules, where each module is a set of coherently-interacting molecules and
- a cell responds to a stress or a stimulus by appropriately modulating the activities of a subset of these modules.
- Given a wiring diagram and genome-wide gene expression data measured after the application of a stress or in a disease state, compute the active network of molecular interactions perturbed by the stress or the disease.
- Given the active networks for multiple stresses, stimuli, or diseases, compute a set of network legos, which are molecular modules with the property that each active network can be expressed as an appropriate combination of a subset of modules.
Ph. D.
Prager, Richard William. "Parallel processing networks for automatic speech recognition." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238443.
Full textLee, George J. (George Janbing) 1979. "Automatic service selection in dynamic wireless networks." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87434.
Full textCrestel, Léopold. "Neural networks for automatic musical projective orchestration." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS625.
Full textOrchestration is the art of composing a musical discourse over a combinatorial set of instrumental possibilities. For centuries, musical orchestration has only been addressed in an empirical way, as a scientific theory of orchestration appears elusive. In this work, we attempt to build the first system for automatic projective orchestration, and to rely on machine learning. Hence, we start by formalizing this novel task. We focus our effort on projecting a piano piece onto a full symphonic orchestra, in the style of notable classic composers such as Mozart or Beethoven. Hence, the first objective is to design a system of live orchestration, which takes as input the sequence of chords played by a pianist and generate in real-time its orchestration. Afterwards, we relax the real-time constraints in order to use slower but more powerful models and to generate scores in a non-causal way, which is closer to the writing process of a human composer. By observing a large dataset of orchestral music written by composers and their reduction for piano, we hope to be able to capture through statistical learning methods the mechanisms involved in the orchestration of a piano piece. Deep neural networks seem to be a promising lead for their ability to model complex behaviour from a large dataset and in an unsupervised way. More specifically, in the challenging context of symbolic music which is characterized by a high-dimensional target space and few examples, we investigate autoregressive models. At the price of a slower generation process, auto-regressive models allow to account for more complex dependencies between the different elements of the score, which we believe to be of the foremost importance in the case of orchestration
Newman, Rhys A. "Automatic learning in computer vision." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390526.
Full textWinsnes, Casper. "Automatic Subcellular Protein Localization Using Deep Neural Networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189991.
Full textHowell, Andrew Jonathan. "Automatic face recognition using radial basis function networks." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241635.
Full textPitkänen, P. (Perttu). "Automatic image quality enhancement using deep neural networks." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201904101454.
Full textLin, Alvin. "Video Based Automatic Speech Recognition Using Neural Networks." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2343.
Full textBoley, Alexander. "Automatic wind turbine operation analysis through neural networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214551.
Full textDen här masteruppsatsen hanterar utvecklandet av ett automatiskt driftanalyseringsprogram för vindkraftverk och fungerar som det teoretiska underlaget för detta program. Programmet utvecklades på uppdrag av kraftbolaget OX2 som ville undersöka potentialen för ett sådant analysprogram i deras verksamhet. Uppdraget givet var att: 1. ta fram en bra indikator när det gäller den faktiska effektiviteten av ett vindkraftverk, 2. att hitta ett effektivt sätt att använda detta måttet i en analys där målet är att hitta avvikelser, och 3. skriva ett program som automatiskt kan använda måttet och metoden över tiden. Rapporten kommer via litteraturstudie fram till att tidigare forskning visar på att neurala nätverk är den mest lovande metoden för att genomföra sådan här analys. Dessa nätverk kan träna sig själva på historiska data och sedan analysera om vindturbinen arbetar bättre eller sämre än historiskt. Den här jämförelsen mellan den historiskt grundade förutspådda kraften ut och den faktiska kraften ut fungerar som kvalitetsmåttet på hur bra turbinen fungerar. Programmet är baserat på den här principen och är helt skriven i MATLAB. Vidare tester av programmet visar att de bästa variablerna att använda för att förutspå kraften ut är vindhastigheten och bladens vinkel mot vinden. Slutprogrammet var kapabelt att fullt automatiskt och integrerat i OX2s system identifiera 75% av alla avvikelser som manuellt hittats i ett halvårs data på de fem turbinerna använda för rapporten, småfel hittade av programmet men inte manuellt exkluderat.
Lenz, Lutz Henning. "Automatic Tuning of Integrated Filters Using Neural Networks." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4604.
Full textGunnar, Anders. "Aspects of proactive traffic engineering in IP networks." Doctoral thesis, KTH, Reglerteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-29558.
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Amiri, Asgari J. N. "Automatic face recognition for television audience monitoring." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363285.
Full textBraccini, Michele. "Automatic Design of Boolean Networks for Modelling Differentiation Trees." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10432/.
Full textBarrera, Núñez Víctor Augusto. "Automatic diagnosis of voltage disturbances in power distribution networks." Doctoral thesis, Universitat de Girona, 2012. http://hdl.handle.net/10803/80944.
Full textEn esta tesis se propone una metodología para la identificación de la localización relativa (aguas arriba/abajo) y la causa de una perturbación eléctrica. La metodología utiliza las ondas trifásicas de tensión y de corriente registradas en redes de distribución radial sin presencia de generación distribuida. La metodología es validada utilizando perturbaciones eléctricas reales y simuladas. La metodología involucra atributos que han sido concebidos basándose en principios eléctricos e hipótesis de acuerdo a cada uno de los fenómenos eléctricos analizados. Se propusieron atributos tanto basados en la forma de onda como en la fecha de ocurrencia de la perturbación. La cantidad de información contenida y/o explicada por cada atributo es valorada mediante la aplicación del análisis multivariante de la varianza y algoritmos de extracción automática de reglas de decisión. Los resultados de clasificación muestran que la metodología propuesta puede ser utilizada para el diagnóstico automático de perturbaciones eléctricas registradas en redes de distribución radial. Los resultados de diagnóstico pueden ser utilizados para apoyar las tareas de operación, mantenimiento y planeamiento de las redes de distribución.
WOLF, ALEXANDRE STURMER. "AUTOMATIC ANALISYS OF ELECTROCARDIOGRAPHIC SIGNALS USING ARTIFICIAL NEURAL NETWORKS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4817@1.
Full textO objetivo dessa dissertação é o desenvolvimento de um algoritmo para a análise automática de sinais eletrocardiográficos, baseado em Redes Neurais Artificiais. O sistema é dividido em vários sub- programas utilizados para extrair informações do registro eletrocardiográfico de pacientes, informando a existência de anormalidades a partir da comparação dos valores obtidos com os valores de normalidade disponíveis na literatura biomédica. O programa utiliza 4 segundos do sinal de eletrocardiograma para uma análise classificatória inicial, verificando a viabilidade da extração de informações. Sendo possível esta extração, são obtidos os ciclos cardíacos existentes nesse sinal, e deles são extraídas informações quantitativas dos componentes de suas ondas, que posteriormente serão comparadas com faixas de normalidade por meio de um conjunto de regras heurísticas, indicando assim a possível presença de alterações morfológicas do registro. Esse programa pode ser utilizado em comunidades carentes para orientar a necessidade de encaminhamento a um especialista, cuja presença é rara na maior parte dos postos de atendimento generalista. Também pode auxiliar ao médico especialista, indicando de forma objetiva as possíveis alterações do registro eletrocardiográfico. Os resultados obtidos podem ser considerados satisfatórios, sendo que os valores são compatíveis com a sua natureza, principalmente no que diz respeito aos problemas de baixa razão sinal/ruído existente nos sinais analisados. Para verificação dos resultados de localização dos pontos inicial e final de cada componente do ECG, uma das métricas utilizadas foi o MAPE, obtendo-se, 19,44 por cento para onda P,4,85 por cento para o complexo QRS, 8,93 por cento para o início da onda T e 7,76 por cento para o final da onda T. Outra métrica utilizada para comparar os resultados obtidos com outro artigo, foi a Média Aritmética/Desvio Padrão, onde se obteve mi=-0,8264 ms e sigma=3,7037 ms para o início da onda P, mi=-1,5082 ms e sigma=2,2890 ms para o fim da onda P, mi=-0,2104 ms e sigma=3,2486 ms para o início do complexo QRS, mi=-0,4309 ms e sigma=3,9542 ms para o fim do complexo QRS, mi=-0,1926 ms e sigma=5,7413 ms para o início da onda T, mi=-0,3346 ms e sigma=6,3991 ms para o fim da onda T.
The objective of this dissertation is implementing an algorithm for automatic analysis of electrocardiographic signals, using Artificial Neural Networks. The system is divided into several subprograms that extract relevant information about the cardiac signal measured from patients, and points out possible abnormalities by comparison with normal values found in biomedical bibliography. The algorithm uses 4 seconds of the electrocardiogram signal for an initial classification, verifying the feasibility of information extraction. If the extraction is possible, the separate cardiac cycles are collected from the signal and quantitative values for the various components are determined. Finally, these values are compared with the normal values, indicating alterations of wave morphology. This algorithm has a clear relevance in low-income communities, being useful for an initial classification of the patients, being then forwarded to a cardiologist when ECG abnormalities are identified. Another potential use is in helping the cardiologist to automatically determine accurate values from the electrocardiographic register. The results can by considered satistactory, because the values are being compatible with their nature, mainly due to problems of low signal-to-noise ratio in analysed signals. For verification of the results, one metric used was the MAPE, obtaining 19,44 percent for the P wave, 4,85 percent for the QRS complex, 8,93 percent for the begining of the T wave and 7,76 percent for the end of T wave. Another metric used for comparing results with another article, was the Arithmetic Mean/Standard Deviation, obtaining u=-0,8264 ms and ó=3,7037 ms for the onset of the P wave, u=-1,5082 ms and ó=2,2890 ms for the offset of P wave, u=-0,2104 ms and ó=3,2486 ms for the onset of the QRS complex, u=-0,4309 ms and ó=3,9542 ms for the offset of the QRS complex, u=-0,1926 ms and ó=5,7413 ms for the onset of the T wave, u=-0,3346 ms and ó=6,3991 ms for the offset of the T wave.
Reikeras, Helge. "Audio-visual automatic speech recognition using Dynamic Bayesian Networks." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6777.
Full textLilja, Mathias. "Automatic Essay Scoring of Swedish Essays using Neural Networks." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352505.
Full textNordling, Love. "Evaluation of Generative Neural Networks for Automatic Defect Detection." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428411.
Full textChen, Hsinchun, and K. J. Lynch. "Automatic Construction of Networks of Concepts Characterizing Document Databases." IEEE, 1992. http://hdl.handle.net/10150/105175.
Full textThe results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.
Nguyễn, Hoàng Hà. "Automatic reconstruction of realistic road networks from GIS data." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4007/document.
Full textRoad reconstruction is an important topic in 3D modeling. Recently, the steady development of many critical-accurate applications has posed a high demand for realistic road models, taking into account road-design constraints selected from civil engineering. We propose in this dissertation methods for building realistic road network models from GIS data.Firstly, problems of single road axis reconstruction from a polyline are addressed. We present a novel G1-piecewise-curve model which is not only faithful to the real road axis but also convenient and cheap to render. Our Least Square Growing Algorithm creates, as in civil engineering, an horizontal and a vertical curves, then combines them to produce a 3D road axis fitting well the polyline. Processing individual polyline will leads to the discontinuities at road intersections so we introduce a procedure to detect road relations, then we propose a global process to reconstruct all road axes with the considerations on further constraints of road ends.Finally, based upon the resulting road axis and road properties in the GIS database, we define a mathematical road surface model respecting the essential constraints of real road surfaces. To produce a geometry representing the final road surface, we build a coarse mesh from the input terrain highmap, subdivide it adaptively along the road axis, then adjust the altitude of concerning vertices to the value defined by the mathematical model in order to attain a correct mapping between the terrain and the real road
Brückner, Jörg. "Automatic pattern recognition and learning for information systems." Thesis, University of Sussex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262632.
Full textFairgrieve, Andrew. "The application of neural networks in active suspension." Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/34234.
Full textSilos, Sánchez Àngel. "Automatic fault location in electrical distribution networks with distributed generation." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/650824.
Full textLa xarxa elèctrica evoluciona contínuament a causa del creixent desplegament de les Tecnologies de la Informació i dels Recursos Energètics Distribuïts. Aquest escenari afecta directament a la qualitat de servei de les xarxes de distribució elèctrica. Per aquest motiu, el mantenir i millorar el nivell de qualitat d'energia és un punt clau per fer evolucionar la xarxa elèctrica cap a una xarxa Smart Grid. Aquesta qualitat de l'energia es defineix per medi de de tres punts importants: disponibilitat, qualitat d'ona i qualitat comercial. La presència dels Recursos Energètics Distribuïts mostra un nou escenari en què la detecció de defectes es complica afectant a la disponibilitat del servei. Aquesta tesi es centra principalment en l'anàlisi de diversos mètodes per localitzar un defecte a la xarxa de distribució elèctrica i també en com l'ús dels estàndards de comunicació actuals poden contribuir considerablement a la localització del defecte. És important remarcar que la principal contribució d'aquest document ha estat en l'anàlisi de diverses proposicions i algoritmes per millorar la localització de faltes en una xarxa de distribució utilitzant Dispositius Electrònics Intel·ligents amb estàndards internacionals com l'IEC 61850. Tots aquests algoritmes han estat definits per treballar en xarxes de distribució mallades. Una altra contribució important d'aquesta tesi es troba en el sistema de protecció adaptatiu per tal d'aïllar correctament el defecte en una distribució del sistema d'anell amb interruptors automàtics. Aquesta proposta es podria ampliar a una xarxa mallada. Finalment, la tesi conclou amb que l'ús d'estàndards de comunicació i l'Internet of Things en combinació amb Dispositius Electrònics Intel·ligents, desenvolupats actualment, poden contribuir significativament a millorar la distribució de la xarxa elèctrica actual i futura.
Martínez, Marrodán Diego. "Automatic Scheduling for schools : Scalability of the Hopfield Neural Networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166589.
Full textTuerk, Christine M. "Automatic speech synthesis using auditory transforms and artificial neural networks." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385362.
Full textDielmann, Alfred. "Automatic recognition of multiparty human interactions using dynamic Bayesian networks." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4022.
Full textNavaneethan, Senthivadivelu. "Automatic fault location system for low voltage underground distribution networks." Thesis, University of Strathclyde, 2003. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21540.
Full textKhare, Vineet R. "Automatic problem decomposition using co-evolution and modular neural networks." Thesis, University of Birmingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435412.
Full textRosten, David Paul 1967. "Automatic design of a decision tree classifier employing neural networks." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277881.
Full textGarces, Freddy. "Dynamic neural networks for approximate input- output linearisation-decoupling of dynamic systems." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368662.
Full textTucker, Allan Brice James. "The automatic explanation of Multivariate Time Series with large time lags." Thesis, Birkbeck (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246924.
Full textReynolds, James H. "Spoken letter recognition with neural networks." Thesis, University of Oxford, 1991. http://ora.ox.ac.uk/objects/uuid:b30872a7-7bd8-437f-bd3a-649de981d352.
Full textZhang, Dian. "Transceiver-free object tracking in wireless sensor networks /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20ZHANG.
Full textFahmy, Maged Mohamed Mahoud. "Application of computer vision to automatic vehicle identification." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244940.
Full textZhong, Xin. "Speech coding and transmission for improved automatic recognition in communication networks." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180252/unrestricted/zhong%5Fxin%5F200312%5Fphd.pdf.
Full textRosa, Junior Leomar Soares da. "Automatic generation and evaluation of transistor networks in different logic styles." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/61869.
Full textCurrently, VLSI design has established a dominant role in the electronics industry. Automated tools have enabled designers to manipulate more transistors on a design project and shorten the design cycle. In particular, logic synthesis tools have contributed significantly to reduce the design cycle time. In full-custom designs, manual generation of transistor netlists for each functional block is performed, but this is an extremely time-consuming task. In this sense, it becomes comfortable to have efficient algorithms to derive transistor networks automatically. There are several kinds of transistor networks arrangements. These different networks present different behaviors in terms of area, delay and power consumption. Thus, not only automatic transistor networks generation is important, but also an automated technique to evaluate and to compare the distinct switch networks is fundamental to guide designers that need to achieve efficient circuit implementations. This evaluation not necessarily needs to be an expensive electrical characterization process. It can be obtained through estimation processes capable of delivering good information about the logic cells behavior. This idea is useful for those designers that desire to generate and to evaluate potential transistor network implementations to feed standard-cell flow designs (using cell libraries), or for those designers who target the use of library-free technology mapping concept (using automatic cells generators). In this context, this work presents an automated transistor network generator able to delivery different kinds of networks in several logic styles. In order to compare the obtained networks, some estimation techniques are employed. A comparison is done over a set of Boolean function benchmarks, showing the advantages of using alternative logic styles over the traditional Complementary Series-Parallel CMOS (CSP CMOS).
Sleep, Jonathan. "Automatic Music Transcription with Convolutional Neural Networks using Intuitive Filter Shapes." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1803.
Full textLavenius, Axel. "Automatic identification of northern pike (Exos Lucius) with convolutional neural networks." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-418639.
Full textNoblía, Matilda. "Automatic Anomaly Detection in Graphical User Interfaces Using Deep Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264457.
Full textAutomatisk detektering av kodfel är standard i kvalitetsarbetet som utförs vid mjukvaruveckling. Grafiska fel som kan uppstå i användargränssnitt upptäcks dock ofta manuellt. Den här rapporten undersöker ifall djupa neurala nätverk kan användas för att automatiskt detektera två vanliga fel som uppstår i användargränssnitt. Resultaten indikerar att så är fallet åtminstone för det specifika dataset som används.
Neggaz, Mohammed Yessin. "Automatic classification of dynamic graphs." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0169/document.
Full textDynamic networks consist of entities making contact over time with one another. A major challenge in dynamic networks is to predict mobility patterns and decide whether the evolution of the topology satisfies requirements for the successof a given algorithm. The types of dynamics resulting from these networks are varied in scale and nature. For instance, some of these networks remain connected at all times; others are always disconnected but still offer some kind of connectivity over time and space (temporal connectivity); others are recurrently connected,periodic, etc. All of these contexts can be represented as dynamic graph classes corresponding to necessary or sufficient conditions for given distributed problems or algorithms. Given a dynamic graph, a natural question to ask is to which of the classes this graph belongs. In this work we provide a contribution to the automation of dynamic graphs classification. We provide strategies for testing membership of a dynamic graph to a given class and a generic framework to test properties in dynamic graphs. We also attempt to understand what can still be done in a context where no property on the graph is guaranteed through the distributed problem of maintaining a spanning forest in highly dynamic graphs
Ramani, Vipin. "Reconfigurable control using polynomial neural networks." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13297.
Full textByrne, Carlton B. "Assembly task identification and strategy development using expert systems and neural networks." Thesis, Cardiff University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266650.
Full textDias, De Macedo Filho Antonio. "Microwave neural networks and fuzzy classifiers for ES systems." Thesis, University College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244066.
Full textWan, Yan. "New paradigms for design and control of dynamical networks." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Spring2009/y_wan_022509.pdf.
Full textTitle from PDF title page (viewed on Apr. 2, 2009). "School of Electrical Engineering & Computer Science." Includes bibliographical references (p. 433-454).
Pan, Junfeng. "Learning-based localization in wireless and sensor networks /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20PAN.
Full textCasini, Luca. "Automatic Music Generation Using Variational Autoencoders." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16137/.
Full text