2013 | OriginalPaper | Buchkapitel
Summary
verfasst von : Maciej Krawczak
Erschienen in: Multilayer Neural Networks
Verlag: Springer International Publishing
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In this book, the natural structure of multilayer neural networks was used in order to consider this class of neural networks from the systems point of view: the aggregated neurons lying within one layer constitute the stage of the system and the bordering stages exchange the information on their states. The outputs of the neurons, from the same layer, constitute the state vectors. Connection weights between the neurons of the same layer are arranged in vectors and are treated as controls. In this way, we developed the interpretation of the multilayer neural networks as the multistage control systems.