Basin of Attraction of Associative Memory as it is Evolved by a Genetic Algorithm

نویسندگان

  • Akira Imada
  • Keijiro Araki
چکیده

| We are applying genetic algorithms to fully connected neural network model of associative memory, We reported elsewhere that random weight matrix evolves to store some number of patterns only by means of a Genetic Algorithm. And we also reported the Genetic Algorithm can enlarge storage capacity of Hebb-rule associative memory. In those two reports, however, we did not mention about the basin of attraction. In this paper, we report concerning the basin of attraction of the networks obtained in those two experiments above.

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تاریخ انتشار 1996