Literatura académica sobre el tema "Neural network"
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Artículos de revistas sobre el tema "Neural network"
Navghare, Tukaram, Aniket Muley y Vinayak Jadhav. "Siamese Neural Networks for Kinship Prediction: A Deep Convolutional Neural Network Approach". Indian Journal Of Science And Technology 17, n.º 4 (26 de enero de 2024): 352–58. http://dx.doi.org/10.17485/ijst/v17i4.3018.
Texto completoO. H. Abdelwahed, O. H. Abdelwahed y M. El-Sayed Wahed. "Optimizing Single Layer Cellular Neural Network Simulator using Simulated Annealing Technique with Neural Networks". Indian Journal of Applied Research 3, n.º 6 (1 de octubre de 2011): 91–94. http://dx.doi.org/10.15373/2249555x/june2013/31.
Texto completoTran, Loc. "Directed Hypergraph Neural Network". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31 de marzo de 2020): 1434–41. http://dx.doi.org/10.5373/jardcs/v12sp4/20201622.
Texto completoAntipova, E. S. y S. A. Rashkovskiy. "Autoassociative Hamming Neural Network". Nelineinaya Dinamika 17, n.º 2 (2021): 175–93. http://dx.doi.org/10.20537/nd210204.
Texto completoPerfetti, R. "A neural network to design neural networks". IEEE Transactions on Circuits and Systems 38, n.º 9 (1991): 1099–103. http://dx.doi.org/10.1109/31.83884.
Texto completoZengguo Sun, Zengguo Sun, Guodong Zhao Zengguo Sun, Rafał Scherer Guodong Zhao, Wei Wei Rafał Scherer y Marcin Woźniak Wei Wei. "Overview of Capsule Neural Networks". 網際網路技術學刊 23, n.º 1 (enero de 2022): 033–44. http://dx.doi.org/10.53106/160792642022012301004.
Texto completoD, Sreekanth. "Metro Water Fraudulent Prediction in Houses Using Convolutional Neural Network and Recurrent Neural Network". Revista Gestão Inovação e Tecnologias 11, n.º 4 (10 de julio de 2021): 1177–87. http://dx.doi.org/10.47059/revistageintec.v11i4.2177.
Texto completoMahat, Norpah, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan y Teoh Yeong Kin. "Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance". Journal of Computing Research and Innovation 7, n.º 1 (30 de marzo de 2022): 29–38. http://dx.doi.org/10.24191/jcrinn.v7i1.264.
Texto completoFUKUSHIMA, Kunihiko. "Neocognitron: Deep Convolutional Neural Network". Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 27, n.º 4 (2015): 115–25. http://dx.doi.org/10.3156/jsoft.27.4_115.
Texto completoCVS, Rajesh y Nadikoppula Pardhasaradhi. "Analysis of Artificial Neural-Network". International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 de octubre de 2018): 418–28. http://dx.doi.org/10.31142/ijtsrd18482.
Texto completoTesis sobre el tema "Neural network"
Xu, Shuxiang, University of Western Sydney y of Informatics Science and Technology Faculty. "Neuron-adaptive neural network models and applications". THESIS_FIST_XXX_Xu_S.xml, 1999. http://handle.uws.edu.au:8081/1959.7/275.
Texto completoDoctor of Philosophy (PhD)
Ellerbrock, Thomas M. "Multilayer neural networks learnability, network generation, and network simplification /". [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958467897.
Texto completoPatterson, Raymond A. "Hybrid Neural networks and network design". Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262707683.
Texto completoKhliobas. "NEURAL NETWORK". Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33752.
Texto completoRastogi, Preeti. "Assessing Wireless Network Dependability Using Neural Networks". Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1129134364.
Texto completoChambers, Mark Andrew. "Queuing network construction using artificial neural networks /". The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665234291.
Texto completoDunn, Nathan A. "A Novel Neural Network Analysis Method Applied to Biological Neural Networks". Thesis, view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1251892251&sid=2&Fmt=2&clientId=11238&RQT=309&VName=PQD.
Texto completoTypescript. Includes vita and abstract. Includes bibliographical references (leaves 122- 131). Also available for download via the World Wide Web; free to University of Oregon users.
BRUCE, WILLIAM y OTTER EDVIN VON. "Artificial Neural Network Autonomous Vehicle : Artificial Neural Network controlled vehicle". Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191192.
Texto completoDenna rapport har som mal att beskriva hur en Artificiellt Neuronnatverk al- goritm kan anvandas for att kontrollera en bil. Det beskriver teorin bakom neu- ronnatverk och autonoma farkoster samt hur en prototyp, som endast anvander en kamera som indata, kan designas for att testa och utvardera algoritmens formagor. Rapporten kommer visa att ett neuronnatverk kan, med bildupplos- ningen 100 × 100 och traningsdata innehallande 900 bilder, ta beslut med en 0.78 sakerhet.
De, Jongh Albert. "Neural network ensembles". Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50035.
Texto completoENGLISH ABSTRACT: It is possible to improve on the accuracy of a single neural network by using an ensemble of diverse and accurate networks. This thesis explores diversity in ensembles and looks at the underlying theory and mechanisms employed to generate and combine ensemble members. Bagging and boosting are studied in detail and I explain their success in terms of well-known theoretical instruments. An empirical evaluation of their performance is conducted and I compare them to a single classifier and to each other in terms of accuracy and diversity.
AFRIKAANSE OPSOMMING: Dit is moontlik om op die akkuraatheid van 'n enkele neurale netwerk te verbeter deur 'n ensemble van diverse en akkurate netwerke te gebruik. Hierdie tesis ondersoek diversiteit in ensembles, asook die meganismes waardeur lede van 'n ensemble geskep en gekombineer kan word. Die algoritmes "bagging" en "boosting" word in diepte bestudeer en hulle sukses word aan die hand van bekende teoretiese instrumente verduidelik. Die prestasie van hierdie twee algoritmes word eksperimenteel gemeet en hulle akkuraatheid en diversiteit word met 'n enkele netwerk vergelyk.
Simmen, Martin Walter. "Neural network optimization". Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/12942.
Texto completoLibros sobre el tema "Neural network"
Neural network principles. Englewood Cliffs, NJ: Prentice Hall, 1994.
Buscar texto completoDe Wilde, Philippe. Neural Network Models. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-84628-614-8.
Texto completoTaylor, J. G., E. R. Caianiello, R. M. J. Cotterill y J. W. Clark, eds. Neural Network Dynamics. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8.
Texto completoTaylor, J. G., ed. Neural Network Applications. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2003-2.
Texto completoHarvey, Robert L. Neural network principles. London: Prentice-Hall International, 1994.
Buscar texto completoEdgar, Sánchez-Sinencio y Newcomb Robert W, eds. Neural network hardware. New York: IEEE, 1992.
Buscar texto completoB, Demuth Howard y Beale Mark H, eds. Neural network design. Boston: PWS Pub., 1996.
Buscar texto completoBharath, Ramachandran. Neural network computing. New York: Windcrest/McGraw-Hill, 1994.
Buscar texto completoToshio, Fukuda, ed. Neural network applications. New York: IEEE, 1992.
Buscar texto completoShanmuganathan, Subana y Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.
Texto completoCapítulos de libros sobre el tema "Neural network"
D’Addona, Doriana Marilena. "Neural Network". En CIRP Encyclopedia of Production Engineering, 1–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_6563-3.
Texto completoD’Addona, Doriana Marilena. "Neural Network". En CIRP Encyclopedia of Production Engineering, 1268–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_6563.
Texto completoD’Addona, Doriana Marilena. "Neural Network". En CIRP Encyclopedia of Production Engineering, 911–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-20617-7_6563.
Texto completoKim, Phil. "Neural Network". En MATLAB Deep Learning, 19–51. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2845-6_2.
Texto completoChityala, Ravishankar y Sridevi Pudipeddi. "Neural Network". En Image Processing and Acquisition using Python, 251–64. Second edition. | Boca Raton : Chapman & Hall/CRC Press, 2020. | Series: Chapman & Hall/CRC the Python series: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429243370-11.
Texto completoWeik, Martin H. "neural network". En Computer Science and Communications Dictionary, 1095. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12300.
Texto completoBurgos, José E. "Neural Network". En Encyclopedia of Animal Cognition and Behavior, 1–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-47829-6_775-1.
Texto completoBurgos, José E. "Neural Network". En Encyclopedia of Animal Cognition and Behavior, 4634–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_775.
Texto completoWang, Liang, Jianxin Zhao y Richard Mortier. "Neural Network". En Undergraduate Topics in Computer Science, 219–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97645-3_11.
Texto completoTsai, Kao-Tai. "Neural Network". En Machine Learning for Knowledge Discovery with R, 155–72. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003205685-7.
Texto completoActas de conferencias sobre el tema "Neural network"
Zheng, Shengjie, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqi Qin y Xiaojian Li. "An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence". En 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121010.
Texto completoYang, Zhun, Adam Ishay y Joohyung Lee. "NeurASP: Embracing Neural Networks into Answer Set Programming". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/243.
Texto completoHuynh, Alex V., John F. Walkup y Thomas F. Krile. "Optical perceptron-based quadratic neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mii8.
Texto completoBian, Shaoping, Kebin Xu y Jing Hong. "Near neighbor neurons interconnected neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tht27.
Texto completoShi, Weijia, Andy Shih, Adnan Darwiche y Arthur Choi. "On Tractable Representations of Binary Neural Networks". En 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/91.
Texto completoHuynh, Alex V., John F. Walkup y Thomas F. Krile. "Optical quadratic perceptron neural network". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.thy35.
Texto completoPryor, Connor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang y Lise Getoor. "NeuPSL: Neural Probabilistic Soft Logic". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/461.
Texto completoZhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning". En 8th International Conference on Artificial Intelligence and Applications (AI 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121809.
Texto completoMehdizadeh, Nasser S., Payam Sinaei y Ali L. Nichkoohi. "Modeling Jones’ Reduced Chemical Mechanism of Methane Combustion With Artificial Neural Network". En ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31186.
Texto completoJennings, Andrew, Brian Kelly, John Hegarty y Paul Horan. "Second Order Neural Network Implementation Using Asymmetric Fabry-Perot Modulators". En Optical Computing. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/optcomp.1993.owc.2.
Texto completoInformes sobre el tema "Neural network"
Pollack, Randy B. Neural Network Technologies. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1993. http://dx.doi.org/10.21236/ada262576.
Texto completoWilensky, Gregg, Narbik Manukian, Joseph Neuhaus y Natalie Rivetti. Neural Network Studies. Fort Belvoir, VA: Defense Technical Information Center, julio de 1993. http://dx.doi.org/10.21236/ada271593.
Texto completoTarasenko, Andrii O., Yuriy V. Yakimov y Vladimir N. Soloviev. Convolutional neural networks for image classification. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3682.
Texto completoBarto, Andrew. Adaptive Neural Network Architecture. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1987. http://dx.doi.org/10.21236/ada190114.
Texto completoMcDonnell, John R. y Don Waagen. Evolving Neural Network Architecture. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1993. http://dx.doi.org/10.21236/ada264802.
Texto completoMcDonnell, J. R. y D. Waagen. Evolving Neural Network Connectivity. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1993. http://dx.doi.org/10.21236/ada273134.
Texto completoSaavedra, Gary y Aidan Thompson. Neural Network Interatomic Potentials. Office of Scientific and Technical Information (OSTI), octubre de 2020. http://dx.doi.org/10.2172/1678825.
Texto completoShao, Lu. Automatic Seizure Detection based on a Convolutional Neural Network-Recurrent Neural Network Model. Ames (Iowa): Iowa State University, mayo de 2022. http://dx.doi.org/10.31274/cc-20240624-269.
Texto completoMark A. Rhode. Tampa Electric Neural Network Sootblowing. Office of Scientific and Technical Information (OSTI), marzo de 2004. http://dx.doi.org/10.2172/900191.
Texto completoMark A. Rhode. Tampa Electric Neural Network Sootblowing. Office of Scientific and Technical Information (OSTI), junio de 2004. http://dx.doi.org/10.2172/900192.
Texto completo