2013 | OriginalPaper | Buchkapitel
Parameterisation of Learning
verfasst von : Maciej Krawczak
Erschienen in: Multilayer Neural Networks
Verlag: Springer International Publishing
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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.