Abstract
The problem of the informative feature selection is an independent problem in pattern recognition theory, and it has not yet been solved up to now. The existence approaches to this solution and description of so-called structural methods based on the multilayer neural network pattern recognition systems synthesis [14-1], [14-2] are discussed in this book.
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Literature
Galushkin AI (1974) Synthesis of multilayer pattern recognition systems. Moscow, Energiya, p 367
Galushkin AI (1996) Summary and perspectives of the multilayer neural network theory development (1965–1995) in the proceedings of the Neurocomputer scientific center. Moscow
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© 2007 Springer-Verlag Berlin Heidelberg
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(2007). Informative Feature Selection in Multilayer Neural Networks. In: Neural Networks Theory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48125-6_15
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DOI: https://doi.org/10.1007/978-3-540-48125-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48124-9
Online ISBN: 978-3-540-48125-6
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