@inproceedings{287b207f77934dd088cbb1273478d409,
title = "Can a niching method locate multiple attractors embedded in the hopfield network?",
abstract = "We apply evolutionary computations to the Hopfield{\textquoteright}s nenral network model of associative memory. In the model, a number of patterns can be stored in the network as attractors if synaptic weights are determined appropriately. So far, we have explored weight space to search for the optimal weight configuration that creates attractors at the location of patterns to be stored. In this paper, on the other hand, we explore pattern space to search for attractors that are created by a fixed weight configuration. All the solutions in this case are a priori known. The purpose of this paper is to study the ability of a niching genetic algorithm to locate these multiple solutions using the Hopfield model as a test function.",
author = "Akira Imada and Keijiro Araki",
year = "1999",
doi = "10.1007/3-540-48873-1_42",
language = "English",
isbn = "3540659072",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "325--332",
editor = "Bob McKay and Xin Yao and Newton, {Charles S.} and Jong-Hwan Kim and Takeshi Furuhashi",
booktitle = "Simulated Evolution and Learning - 2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998, Selected Papers",
address = "Germany",
note = "2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1998 ; Conference date: 24-11-1998 Through 27-11-1998",
}