Бекпропагација (Serbian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Бекпропагација" in Serbian language version.

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8doi.org

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3books.google.com

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2web.archive.org

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1stanford.edu

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1neuralnetworksanddeeplearning.com

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1nih.gov

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1arxiv.org

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1scholarpedia.org

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1elsevier.com

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1werbos.com

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1google.rs

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1semanticscholar.org

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aiaa.org

arc.aiaa.org

Kelley, Henry J. (1960). „Gradient theory of optimal flight paths”. Ars Journal. 30 (10): 947—954. doi:10.2514/8.5282.

arxiv.org

Schmidhuber, Jürgen (2015). „Deep learning in neural networks: An overview”. Neural Networks. 61: 85—117. doi:10.1016/j.neunet.2014.09.003.

books.google.com

Russell, Stuart; Norvig, Peter. Artificial Intelligence A Modern Approach. стр. 578. „The most popular method for learning in multilayer networks is called Back-propagation.”
Bryson, A. E.; Yu-Chi, Ho (01. 1. 1975). Applied Optimal Control: Optimization, Estimation and Control. CRC Press. ISBN 978-0-89116-228-5.
Werbos, Paul John (1975). Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Harvard University.

doi.org

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). „Deep learning”. Nature. 521: 436—444. PMID 26017442. doi:10.1038/nature14539.
Schmidhuber, Jürgen (2015). „Deep learning in neural networks: An overview”. Neural Networks. 61: 85—117. doi:10.1016/j.neunet.2014.09.003.
Schmidhuber, Jürgen (2015). „Deep Learning”. Scholarpedia. 10 (11): 32832. doi:10.4249/scholarpedia.32832.
Kelley, Henry J. (1960). „Gradient theory of optimal flight paths”. Ars Journal. 30 (10): 947—954. doi:10.2514/8.5282.
Dreyfus, Stuart. „The numerical solution of variational problems”. Journal of Mathematical Analysis and Applications. 5 (1): 30—45. doi:10.1016/0022-247x(62)90004-5.
Linnainmaa, Seppo (1976). „Taylor expansion of the accumulated rounding error”. BIT Numerical Mathematics. 16 (2): 146—160. doi:10.1007/bf01931367.
Dreyfus, Stuart (1973). „The computational solution of optimal control problems with time lag”. IEEE Transactions on Automatic Control. 18 (4): 383—385. doi:10.1109/tac.1973.1100330.
Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (08. 10. 1986). „Learning representations by back-propagating errors”. Nature. 323 (6088): 533—536. doi:10.1038/323533a0.

elsevier.com

linkinghub.elsevier.com

Dreyfus, Stuart. „The numerical solution of variational problems”. Journal of Mathematical Analysis and Applications. 5 (1): 30—45. doi:10.1016/0022-247x(62)90004-5.

google.rs

books.google.rs

Alpaydin 2010. Alpaydin, Ethem (2010). Introduction to Machine Learning. MIT Press. ISBN 978-0-262-01243-0.

neuralnetworksanddeeplearning.com

Nielsen, Michael A. (01. 1. 2015). „Neural Networks and Deep Learning”.

nih.gov

ncbi.nlm.nih.gov

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). „Deep learning”. Nature. 521: 436—444. PMID 26017442. doi:10.1038/nature14539.

scholarpedia.org

Schmidhuber, Jürgen (2015). „Deep Learning”. Scholarpedia. 10 (11): 32832. doi:10.4249/scholarpedia.32832.

semanticscholar.org

pdfs.semanticscholar.org

Wan, Eric A. (1993). „Time series prediction by using a connectionist network with internal delay lines” (PDF). SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY-PROCEEDINGS. стр. 195—195. Архивирано из оригинала (PDF) 02. 02. 2018. г. Невалидан унос |dead-url=dead (помоћ)

stanford.edu

ufldl.stanford.edu

„Deep Networks: Overview - Ufldl”. ufldl.stanford.edu (на језику: енглески). Архивирано из оригинала 03. 08. 2017. г. Приступљено 04. 8. 2017.

web.archive.org

„Deep Networks: Overview - Ufldl”. ufldl.stanford.edu (на језику: енглески). Архивирано из оригинала 03. 08. 2017. г. Приступљено 04. 8. 2017.
Wan, Eric A. (1993). „Time series prediction by using a connectionist network with internal delay lines” (PDF). SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY-PROCEEDINGS. стр. 195—195. Архивирано из оригинала (PDF) 02. 02. 2018. г. Невалидан унос |dead-url=dead (помоћ)

werbos.com

Werbos 1982, стр. 762–770 Werbos, Paul (1982). „Applications of advances in nonlinear sensitivity analysis”. System modeling and optimization (PDF). Springer. стр. 762—770.