Нейронная сеть с прямой связью (Russian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Нейронная сеть с прямой связью" in Russian language version.

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Schmidhuber, Jürgen. Deep learning in neural networks: An overview // Neural Networks. 61: 85–117. — 2015. — ISSN 0893-6080. — doi:10.1016/j.neunet.2014.09.003. — arXiv:1404.7828.

Schmidhuber, Jürgen. Deep learning in neural networks: An overview // Neural Networks. 61: 85–117. — 2015. — ISSN 0893-6080. — doi:10.1016/j.neunet.2014.09.003. — arXiv:1404.7828.
Auer, Peter; Harald Burgsteiner; Wolfgang Maass. A learning rule for very simple universal approximators consisting of a single layer of perceptrons // Neural Networks. — 2008. — № 21 (5). — С. 786–795. — doi:10.1016/j.neunet.2007.12.036. — PMID 18249524. Архивировано 6 июля 2011 года.
Roman M. Balabin; Ravilya Z. Safieva; Ekaterina I. Lomakina. Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction // Chemometr Intell Lab. 88 (2). — 2007. — С. 183–188. — doi:10.1016/j.chemolab.2007.04.006.
Tahmasebi, Pejman; Hezarkhani, Ardeshir. Application of a Modular Feedforward Neural Network for Grade Estimation // Natural Resources Research. 20 (1). — 21 January 2011. — С. 25—32. — doi:10.1007/s11053-011-9135-3.

Schmidhuber, Jürgen. Deep learning in neural networks: An overview // Neural Networks. 61: 85–117. — 2015. — ISSN 0893-6080. — doi:10.1016/j.neunet.2014.09.003. — arXiv:1404.7828.