2013 | OriginalPaper | Chapter
Parameterisation of Learning
Author : Maciej Krawczak
Published in: Multilayer Neural Networks
Publisher: 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.