Abstract
Genetic algorithms for optimization of feature set and internal structure of neural networks are considered. Results of experimental investigation of genetic algorithms are given. Experiments show that performance of neural networks after such optimization substantially increases.
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© 1995 Springer-Verlag/Wien
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Kussul, E.M., Baidyk, T.N. (1995). Genetic Algorithm for Neurocomputer Image Recognition. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_33
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_33
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
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