Gotowa bibliografia na temat „Neural networks”
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Artykuły w czasopismach na temat "Neural networks"
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 źródłaN, Vikram. "Artificial Neural Networks". International Journal of Research Publication and Reviews 4, nr 4 (23.04.2023): 4308–9. http://dx.doi.org/10.55248/gengpi.4.423.37858.
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 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 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 źródłaAVeselý. "Neural networks in data mining". Agricultural Economics (Zemědělská ekonomika) 49, No. 9 (2.03.2012): 427–31. http://dx.doi.org/10.17221/5427-agricecon.
Pełny tekst źródłaJ, Joselin, Dinesh T i Ashiq M. "A Review on Neural Networks". International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31.10.2018): 565–69. http://dx.doi.org/10.31142/ijtsrd18461.
Pełny tekst źródłaZiroyan, M. A., E. A. Tusova, A. S. Hovakimian i S. G. Sargsyan. "Neural networks apparatus in biometrics". Contemporary problems of social work 1, nr 2 (30.06.2015): 129–37. http://dx.doi.org/10.17922/2412-5466-2015-1-2-129-137.
Pełny tekst źródłaMarton, Sascha, Stefan Lüdtke i Christian Bartelt. "Explanations for Neural Networks by Neural Networks". Applied Sciences 12, nr 3 (18.01.2022): 980. http://dx.doi.org/10.3390/app12030980.
Pełny tekst źródłaRodriguez, Nathaniel, Eduardo Izquierdo i Yong-Yeol Ahn. "Optimal modularity and memory capacity of neural reservoirs". Network Neuroscience 3, nr 2 (styczeń 2019): 551–66. http://dx.doi.org/10.1162/netn_a_00082.
Pełny tekst źródłaRozprawy doktorskie na temat "Neural networks"
Patterson, Raymond A. "Hybrid Neural networks and network design". Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262707683.
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.
Dong, Yue. "Higher Order Neural Networks and Neural Networks for Stream Learning". Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35731.
Pełny tekst źródłaXu, 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)
Allen, T. J. "Optoelectronic neural networks". Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362900.
Pełny tekst źródłaSloan, Cooper Stokes. "Neural bus networks". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119711.
Pełny tekst źródłaThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 65-68).
Bus schedules are unreliable, leaving passengers waiting and increasing commute times. This problem can be solved by modeling the traffic network, and delivering predicted arrival times to passengers. Research attempts to model traffic networks use historical, statistical and learning based models, with learning based models achieving the best results. This research compares several neural network architectures trained on historical data from Boston buses. Three models are trained: multilayer perceptron, convolutional neural network and recurrent neural network. Recurrent neural networks show the best performance when compared to feed forward models. This indicates that neural time series models are effective at modeling bus networks. The large amount of data available for training bus network models and the effectiveness of large neural networks at modeling this data show that great progress can be made in improving commutes for passengers.
by Cooper Stokes Sloan.
M. Eng.
Boychenko, I. V., i G. I. Litvinenko. "Artificial neural networks". Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/17044.
Pełny tekst źródłaLandry, Kenneth D. "Evolutionary neural networks". Thesis, Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/51904.
Pełny tekst źródłaMaster of Science
Książki na temat "Neural networks"
Dominique, Valentin, i Edelman Betty, red. Neural networks. Thousand Oaks, Calif: Sage Publications, 1999.
Znajdź pełny tekst źródłaAbdi, Hervé, Dominique Valentin i Betty Edelman. Neural Networks. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1999. http://dx.doi.org/10.4135/9781412985277.
Pełny tekst źródłaDavalo, Eric, i Patrick Naïm. Neural Networks. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-12312-4.
Pełny tekst źródłaMüller, Berndt, i Joachim Reinhardt. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-97239-3.
Pełny tekst źródłaRojas, Raúl. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4.
Pełny tekst źródłaMüller, Berndt, Joachim Reinhardt i Michael T. Strickland. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57760-4.
Pełny tekst źródłaAlmeida, Luis B., i Christian J. Wellekens, red. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52255-7.
Pełny tekst źródła1931-, Taylor John, i UNICOM Seminars, red. Neural networks. Henley-on-Thames: A. Waller, 1995.
Znajdź pełny tekst źródłaPicton, Philip. Neural networks. New York: Palgrave, 2000.
Znajdź pełny tekst źródłaTeh, H. H. Neural logic networks: A new class of neural networks. Singapore: World Scientific, 1995.
Znajdź pełny tekst źródłaCzęści książek na temat "Neural networks"
Bile, Alessandro. "Introduction to Neural Networks: Biological Neural Network". W Solitonic Neural Networks, 1–18. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48655-5_1.
Pełny tekst źródłaWüthrich, Mario V., i Michael Merz. "Recurrent Neural Networks". W Springer Actuarial, 381–406. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12409-9_8.
Pełny tekst źródłaMüller, Berndt, Joachim Reinhardt i Michael T. Strickland. "Cybernetic Networks". W Neural Networks, 46–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57760-4_5.
Pełny tekst źródłaRojas, Raúl. "Associative Networks". W Neural Networks, 309–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4_12.
Pełny tekst źródłaRojas, Raúl. "Stochastic Networks". W Neural Networks, 371–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4_14.
Pełny tekst źródłaRojas, Raúl. "Kohonen Networks". W Neural Networks, 389–410. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4_15.
Pełny tekst źródłaMüller, Berndt, i Joachim Reinhardt. "Cybernetic Networks". W Neural Networks, 45–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-97239-3_5.
Pełny tekst źródłaHardy, Yorick, i Willi-Hans Steeb. "Neural Networks". W Classical and Quantum Computing, 261–312. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8366-5_14.
Pełny tekst źródłaBungay, Henry R. "Neural Networks". W Environmental Systems Engineering, 121–38. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5507-0_7.
Pełny tekst źródłaCios, Krzysztof J., Witold Pedrycz i Roman W. Swiniarski. "Neural Networks". W Data Mining Methods for Knowledge Discovery, 309–74. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5589-6_7.
Pełny tekst źródłaStreszczenia konferencji na temat "Neural networks"
Yang, 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 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 źródłaNajmon, Joel C., i Andres Tovar. "Comparing Derivatives of Neural Networks for Regression". W ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-117571.
Pełny tekst źródłaOzcan, Neyir. "New results for global stability of neutral-type delayed neural networks". W The 11th International Conference on Integrated Modeling and Analysis in Applied Control and Automation. CAL-TEK srl, 2018. http://dx.doi.org/10.46354/i3m.2018.imaaca.004.
Pełny tekst źródłaBenmaghnia, Hanane, Matthieu Martel i Yassamine Seladji. "Fixed-Point Code Synthesis for Neural Networks". W 6th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120202.
Pełny tekst źródłaAdewusi, S. A., i B. O. Al-Bedoor. "Detection of Propagating Cracks in Rotors Using Neural Networks". W ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1518.
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 źródłaOwechko, Yuri. "Self-Pumped Optical Neural Networks". W Optical Computing. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/optcomp.1989.md4.
Pełny tekst źródłaSpall, James, Xianxin Guo i A. I. Lvovsky. "Hybrid training of optical neural networks". W Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.ftu6d.2.
Pełny tekst źródłaXie, Xuan, Kristian Kersting i Daniel Neider. "Neuro-Symbolic Verification of Deep Neural Networks". W Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/503.
Pełny tekst źródłaRaporty organizacyjne na temat "Neural networks"
Smith, Patrick I. Neural Networks. Office of Scientific and Technical Information (OSTI), wrzesień 2003. http://dx.doi.org/10.2172/815740.
Pełny tekst źródłaJohnson, John L., i C. C. Sung. Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1990. http://dx.doi.org/10.21236/ada222110.
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 źródłaHolder, Nanette S. Introduction to Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, marzec 1992. http://dx.doi.org/10.21236/ada248258.
Pełny tekst źródłaAbu-Mostafa, Yaser S., i Amir F. Atiya. Theory of Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1991. http://dx.doi.org/10.21236/ada253187.
Pełny tekst źródłaAlltop, W. O. Piecewise Linear Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, sierpień 1992. http://dx.doi.org/10.21236/ada265031.
Pełny tekst źródłaWiggins, Vince L., Larry T. Looper i Sheree K. Engquist. Neural Networks: A Primer. Fort Belvoir, VA: Defense Technical Information Center, maj 1991. http://dx.doi.org/10.21236/ada235920.
Pełny tekst źródłaYu, Haichao, Haoxiang Li, Honghui Shi, Thomas S. Huang i Gang Hua. Any-Precision Deep Neural Networks. Web of Open Science, grudzień 2020. http://dx.doi.org/10.37686/ejai.v1i1.82.
Pełny tekst źródłaKeller, P. E. Artificial neural networks in medicine. Office of Scientific and Technical Information (OSTI), lipiec 1994. http://dx.doi.org/10.2172/10162484.
Pełny tekst źródłaJohnson, M. A., G. Kendall, P. J. Cote i L. V. Meisel. Neural Networks in Seizure Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, marzec 1995. http://dx.doi.org/10.21236/ada295629.
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