44
Werbos P. J. Backpropagation: past and future // IEEE International Conference on Neural Networks. San Diego, 1988. Vol. 1. P. 343353.
45
Нейрокомпьютеры: учеб. пособие для вузов. М.: Изд-во МГТУ им. Н. Э. Баумана, 2004. 320 с.
46
Галушкин А. И. Решение задач в нейросетевом логическом базисе // Нейрокомпьютеры: разработка, применение. М.: Радиотехника, 2006. 2. С. 4971.
47
Ясницкий Л. Н. Введение в искусственный интеллект: учебное пособие для вузов. М.: Академия, 2008. 176 с.
48
Галушкин А. И. Нейронные сети: основы теории. Горячая линия Телеком, 2010. 496 с.
49
Connectionism. Internet Encyclopedia of Philosophy. https://iep.utm.edu/connect/#:~:text=Connectionism%20is%20an%20approach%20to,%2C%20neuron%2Dlike%20processing%20units
50
David Saad. Introduction. On-Line Learning in Neural Networks. Cambridge University Press, 1998. P. 38.
51
Cybenco G. Approximation by superpositions of a sigmoidal function // Mathematics of Control, Signals, and Systems. 1989. Vol. 4. P. 304314.
52
Hornik K. et al. Multilayer feedforward networks are universal approximators // Neural Networks. 1989. Vol. 2. P. 359366.
53
Schmidhuber, Jürgen. Deep learning in neural networks: An overview // Neural Networks. 2015. Vol. 61. P. 85117.
54
http://www.asimovinstitute.org/neural-network-zoo/ THE NEURAL NETWORK ZOO POSTED ON SEPTEMBER 14, 2016 BY FJODOR VAN VEEN
55
Werbos P. Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Harvard University, 1974. 38 p.
56
Batch, Mini-Batch & Stochastic Gradient Descent. https://towardsdatascience.com/batch-mini-batch-stochastic-gradient-descent-7a62ecba642a
57
Обучи свою первую нейросеть: простая классификация. https://www.tensorflow.org/tutorials/keras/classification
58
Dudani, Sahibsingh A. The Distance-Weighted k-Nearest-Neighbor Rule // Systems, Man, and Cybernetics. 1976. Vol. SMC-6. Issue 4. P. 325327.
59
K-Nearest Neighbors algorithm. http://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm (2012-07-05).
60
Support vector machine. http://en.wikipedia.org/wiki/Support_vector_machine (2012-02-22).
61
Classifier comparison. https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
62
Коллаборативная_фильтрация. ru.wikipedia.org/wiki/Коллаборативная_фильтрация; https://en.wikipedia.org/wiki/Collaborative_search_engine
63
Friedman, Jerome H. Greedy function approximation: a gradient boosting machine // Annals of Statistics. 2001. P. 11891232.
64
Бустинг. http://www.machinelearning.ru/wiki/index.php?title=Бустинг
65
Pearson K. On lines and planes of closest fit to systems of points in space // Philosophical Magazine. 1901. Vol. 2. P. 559572.
66
Sylvester J. J. On the reduction of a bilinear quantic of the nth order to the form of a sum of n products by a double orthogonal substitution // Messenger of Mathematics. 1889. Vol. 19. P. 4246.