Gotowa bibliografia na temat „Neural network”
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Artykuły w czasopismach na temat "Neural network"
Navghare, Tukaram, Aniket Muley i Vinayak Jadhav. "Siamese Neural Networks for Kinship Prediction: A Deep Convolutional Neural Network Approach". Indian Journal Of Science And Technology 17, nr 4 (26.01.2024): 352–58. http://dx.doi.org/10.17485/ijst/v17i4.3018.
Pełny tekst źródłaO. H. Abdelwahed, O. H. Abdelwahed, i M. El-Sayed Wahed. "Optimizing Single Layer Cellular Neural Network Simulator using Simulated Annealing Technique with Neural Networks". Indian Journal of Applied Research 3, nr 6 (1.10.2011): 91–94. http://dx.doi.org/10.15373/2249555x/june2013/31.
Pełny tekst źródłaTran, Loc. "Directed Hypergraph Neural Network". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31.03.2020): 1434–41. http://dx.doi.org/10.5373/jardcs/v12sp4/20201622.
Pełny tekst źródłaAntipova, E. S., i S. A. Rashkovskiy. "Autoassociative Hamming Neural Network". Nelineinaya Dinamika 17, nr 2 (2021): 175–93. http://dx.doi.org/10.20537/nd210204.
Pełny tekst źródłaPerfetti, R. "A neural network to design neural networks". IEEE Transactions on Circuits and Systems 38, nr 9 (1991): 1099–103. http://dx.doi.org/10.1109/31.83884.
Pełny tekst źródłaZengguo Sun, Zengguo Sun, Guodong Zhao Zengguo Sun, Rafał Scherer Guodong Zhao, Wei Wei Rafał Scherer i Marcin Woźniak Wei Wei. "Overview of Capsule Neural Networks". 網際網路技術學刊 23, nr 1 (styczeń 2022): 033–44. http://dx.doi.org/10.53106/160792642022012301004.
Pełny tekst źródłaD, Sreekanth. "Metro Water Fraudulent Prediction in Houses Using Convolutional Neural Network and Recurrent Neural Network". Revista Gestão Inovação e Tecnologias 11, nr 4 (10.07.2021): 1177–87. http://dx.doi.org/10.47059/revistageintec.v11i4.2177.
Pełny tekst źródłaMahat, Norpah, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan i Teoh Yeong Kin. "Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance". Journal of Computing Research and Innovation 7, nr 1 (30.03.2022): 29–38. http://dx.doi.org/10.24191/jcrinn.v7i1.264.
Pełny tekst źródłaFUKUSHIMA, Kunihiko. "Neocognitron: Deep Convolutional Neural Network". Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 27, nr 4 (2015): 115–25. http://dx.doi.org/10.3156/jsoft.27.4_115.
Pełny tekst źródłaCVS, Rajesh, i Nadikoppula Pardhasaradhi. "Analysis of Artificial Neural-Network". International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31.10.2018): 418–28. http://dx.doi.org/10.31142/ijtsrd18482.
Pełny tekst źródłaRozprawy doktorskie na temat "Neural network"
Xu, Shuxiang, University of Western Sydney i 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.
Pełny tekst źródłaDoctor 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.
Pełny tekst źródłaPatterson, Raymond A. "Hybrid Neural networks and network design". Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262707683.
Pełny tekst źródłaKhliobas. "NEURAL NETWORK". Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33752.
Pełny tekst źródłaRastogi, Preeti. "Assessing Wireless Network Dependability Using Neural Networks". Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1129134364.
Pełny tekst źródłaChambers, Mark Andrew. "Queuing network construction using artificial neural networks /". The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665234291.
Pełny tekst źródłaDunn, 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.
Pełny tekst źródłaTypescript. 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, i 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.
Pełny tekst źródłaDenna 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.
Pełny tekst źródłaENGLISH 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.
Pełny tekst źródłaKsiążki na temat "Neural network"
Neural network principles. Englewood Cliffs, NJ: Prentice Hall, 1994.
Znajdź pełny tekst źródłaDe Wilde, Philippe. Neural Network Models. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-84628-614-8.
Pełny tekst źródłaTaylor, J. G., E. R. Caianiello, R. M. J. Cotterill i J. W. Clark, red. Neural Network Dynamics. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8.
Pełny tekst źródłaTaylor, J. G., red. Neural Network Applications. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2003-2.
Pełny tekst źródłaHarvey, Robert L. Neural network principles. London: Prentice-Hall International, 1994.
Znajdź pełny tekst źródłaEdgar, Sánchez-Sinencio, i Newcomb Robert W, red. Neural network hardware. New York: IEEE, 1992.
Znajdź pełny tekst źródłaB, Demuth Howard, i Beale Mark H, red. Neural network design. Boston: PWS Pub., 1996.
Znajdź pełny tekst źródłaBharath, Ramachandran. Neural network computing. New York: Windcrest/McGraw-Hill, 1994.
Znajdź pełny tekst źródłaToshio, Fukuda, red. Neural network applications. New York: IEEE, 1992.
Znajdź pełny tekst źródłaShanmuganathan, Subana, i Sandhya Samarasinghe, red. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.
Pełny tekst źródłaCzęści książek na temat "Neural network"
D’Addona, Doriana Marilena. "Neural Network". W 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.
Pełny tekst źródłaD’Addona, Doriana Marilena. "Neural Network". W 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.
Pełny tekst źródłaD’Addona, Doriana Marilena. "Neural Network". W 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.
Pełny tekst źródłaKim, Phil. "Neural Network". W MATLAB Deep Learning, 19–51. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2845-6_2.
Pełny tekst źródłaChityala, Ravishankar, i Sridevi Pudipeddi. "Neural Network". W 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.
Pełny tekst źródłaWeik, Martin H. "neural network". W Computer Science and Communications Dictionary, 1095. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12300.
Pełny tekst źródłaBurgos, José E. "Neural Network". W 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.
Pełny tekst źródłaBurgos, José E. "Neural Network". W 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.
Pełny tekst źródłaWang, Liang, Jianxin Zhao i Richard Mortier. "Neural Network". W Undergraduate Topics in Computer Science, 219–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97645-3_11.
Pełny tekst źródłaTsai, Kao-Tai. "Neural Network". W Machine Learning for Knowledge Discovery with R, 155–72. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003205685-7.
Pełny tekst źródłaStreszczenia konferencji na temat "Neural network"
Zheng, Shengjie, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqi Qin i Xiaojian Li. "An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence". W 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.
Pełny tekst źródłaYang, Zhun, Adam Ishay i Joohyung Lee. "NeurASP: Embracing Neural Networks into Answer Set Programming". W 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.
Pełny tekst źródłaHuynh, Alex V., John F. Walkup i Thomas F. Krile. "Optical perceptron-based quadratic neural network". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mii8.
Pełny tekst źródłaBian, Shaoping, Kebin Xu i Jing Hong. "Near neighbor neurons interconnected neural network". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tht27.
Pełny tekst źródłaShi, Weijia, Andy Shih, Adnan Darwiche i Arthur Choi. "On Tractable Representations of Binary Neural Networks". W 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.
Pełny tekst źródłaHuynh, Alex V., John F. Walkup i Thomas F. Krile. "Optical quadratic perceptron neural network". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.thy35.
Pełny tekst źródłaPryor, Connor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang i Lise Getoor. "NeuPSL: Neural Probabilistic Soft Logic". W 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.
Pełny tekst źródłaZhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning". W 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.
Pełny tekst źródłaMehdizadeh, Nasser S., Payam Sinaei i Ali L. Nichkoohi. "Modeling Jones’ Reduced Chemical Mechanism of Methane Combustion With Artificial Neural Network". W 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.
Pełny tekst źródłaJennings, Andrew, Brian Kelly, John Hegarty i Paul Horan. "Second Order Neural Network Implementation Using Asymmetric Fabry-Perot Modulators". W Optical Computing. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/optcomp.1993.owc.2.
Pełny tekst źródłaRaporty organizacyjne na temat "Neural network"
Pollack, Randy B. Neural Network Technologies. Fort Belvoir, VA: Defense Technical Information Center, luty 1993. http://dx.doi.org/10.21236/ada262576.
Pełny tekst źródłaWilensky, Gregg, Narbik Manukian, Joseph Neuhaus i Natalie Rivetti. Neural Network Studies. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1993. http://dx.doi.org/10.21236/ada271593.
Pełny tekst źródłaTarasenko, Andrii O., Yuriy V. Yakimov i Vladimir N. Soloviev. Convolutional neural networks for image classification. [б. в.], luty 2020. http://dx.doi.org/10.31812/123456789/3682.
Pełny tekst źródłaBarto, Andrew. Adaptive Neural Network Architecture. Fort Belvoir, VA: Defense Technical Information Center, październik 1987. http://dx.doi.org/10.21236/ada190114.
Pełny tekst źródłaMcDonnell, John R., i Don Waagen. Evolving Neural Network Architecture. Fort Belvoir, VA: Defense Technical Information Center, marzec 1993. http://dx.doi.org/10.21236/ada264802.
Pełny tekst źródłaMcDonnell, J. R., i D. Waagen. Evolving Neural Network Connectivity. Fort Belvoir, VA: Defense Technical Information Center, październik 1993. http://dx.doi.org/10.21236/ada273134.
Pełny tekst źródłaSaavedra, Gary, i Aidan Thompson. Neural Network Interatomic Potentials. Office of Scientific and Technical Information (OSTI), październik 2020. http://dx.doi.org/10.2172/1678825.
Pełny tekst źródłaShao, Lu. Automatic Seizure Detection based on a Convolutional Neural Network-Recurrent Neural Network Model. Ames (Iowa): Iowa State University, maj 2022. http://dx.doi.org/10.31274/cc-20240624-269.
Pełny tekst źródłaMark A. Rhode. Tampa Electric Neural Network Sootblowing. Office of Scientific and Technical Information (OSTI), marzec 2004. http://dx.doi.org/10.2172/900191.
Pełny tekst źródłaMark A. Rhode. Tampa Electric Neural Network Sootblowing. Office of Scientific and Technical Information (OSTI), czerwiec 2004. http://dx.doi.org/10.2172/900192.
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