Evolving Neural Networks: Selected Medical Applications and the Effects of Variation Operators

David B. Fogel ()
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David B. Fogel: Natural Selection, Inc.

Chapter 16 in Modeling and Simulation: Theory and Practice, 2003, pp 217-248 from Springer

Abstract: Abstract Evolutionary algorithms can be used to train and design neural networks for medical applications. This paper reviews some recent efforts in breast cancer detection using evolutionary neural networks. The results obtained are discussed in relation to other methods for analyzing similar data. Additional basic research data are presented that investigate the use of alternative forms of variation on neural networks (e.g., mutation and recombination). Mention is given to the inspiration that Walter Karplus provided to the author in applying computational intelligence methods to practical problems in medicine and other disciplines.

Keywords: Neural Network; Hide Node; Crossover Operator; Radial Basis Function Network; Fitness Distribution (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-0235-7_17

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DOI: 10.1007/978-1-4615-0235-7_17

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