Abstract
We apply genetic algorithms to the Hopfield model of associative memory. Previously, we reported that a genetic algorithm evolves a network with random synaptic weights to store eventually a set of random patterns. In this paper, we show how the Baldwin effect on the evolution enhances the storage capacity.
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© 1998 Springer-Verlag Wien
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Imada, A., Araki, K. (1998). The Baldwin Effect on the Evolution of Associative Memory. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_78
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_78
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
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