Abstract
Learning of a neural network is meant to adjust connections between layers (connections between neurons) in order to minimize the performance index of learning. For this, the backpropagation algorithm with various modifications is commonly used. At the same time, the learning process of multilayer neural networks can be considered as a particular multistage optimal control problem, described in Chap. 4.
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© 2013 Springer International Publishing Switzerland
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Krawczak, M. (2013). Parameterisation of Learning. In: Multilayer Neural Networks. Studies in Computational Intelligence, vol 478. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00248-4_6
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DOI: https://doi.org/10.1007/978-3-319-00248-4_6
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00247-7
Online ISBN: 978-3-319-00248-4
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