What does the landscape of a hopfield associative memory look like?

Akira Imada; Keijiro Araki

doi:10.1007/bfb0040816

What does the landscape of a hopfield associative memory look like?

Akira Imada, Keijiro Araki

Advanced Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We apply evolutionary computations to the Hopfield's neural network model of associative memory. In the model, some of the appropriate configurations of synaptic weights giv e the network a function of associative memory. One of our goals is to obtain the distribution of these configurations in the synaptic weight space. In other words, our aim is to learn a geometry of a fitness landscape defined on the space. For the purpose, we use evolutionary walks to explore the fitness landscape in this paper.

Original language	English
Title of host publication	Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings
Editors	V.W. Porto, N. Saravanan, D. Waagen, A.E. Eiben
Publisher	Springer Verlag
Pages	647-656
Number of pages	10
ISBN (Print)	3540648917, 9783540648918
DOIs	https://doi.org/10.1007/bfb0040816
Publication status	Published - 1998
Event	7th Annual Conference on Evolutionary Programming, EP 1998 - San Diego, United States Duration: Mar 25 1998 → Mar 27 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1447
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th Annual Conference on Evolutionary Programming, EP 1998
Country/Territory	United States
City	San Diego
Period	3/25/98 → 3/27/98

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/bfb0040816

Cite this

Imada, A., & Araki, K. (1998). What does the landscape of a hopfield associative memory look like? In V. W. Porto, N. Saravanan, D. Waagen, & A. E. Eiben (Eds.), Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings (pp. 647-656). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1447). Springer Verlag. https://doi.org/10.1007/bfb0040816

What does the landscape of a hopfield associative memory look like? / Imada, Akira; Araki, Keijiro.

Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings. ed. / V.W. Porto; N. Saravanan; D. Waagen; A.E. Eiben. Springer Verlag, 1998. p. 647-656 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1447).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Imada, A & Araki, K 1998, What does the landscape of a hopfield associative memory look like? in VW Porto, N Saravanan, D Waagen & AE Eiben (eds), Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1447, Springer Verlag, pp. 647-656, 7th Annual Conference on Evolutionary Programming, EP 1998, San Diego, United States, 3/25/98. https://doi.org/10.1007/bfb0040816

Imada A, Araki K. What does the landscape of a hopfield associative memory look like? In Porto VW, Saravanan N, Waagen D, Eiben AE, editors, Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings. Springer Verlag. 1998. p. 647-656. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/bfb0040816

Imada, Akira ; Araki, Keijiro. / What does the landscape of a hopfield associative memory look like?. Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings. editor / V.W. Porto ; N. Saravanan ; D. Waagen ; A.E. Eiben. Springer Verlag, 1998. pp. 647-656 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "What does the landscape of a hopfield associative memory look like?",

abstract = "We apply evolutionary computations to the Hopfield's neural network model of associative memory. In the model, some of the appropriate configurations of synaptic weights giv e the network a function of associative memory. One of our goals is to obtain the distribution of these configurations in the synaptic weight space. In other words, our aim is to learn a geometry of a fitness landscape defined on the space. For the purpose, we use evolutionary walks to explore the fitness landscape in this paper.",

author = "Akira Imada and Keijiro Araki",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 7th Annual Conference on Evolutionary Programming, EP 1998 ; Conference date: 25-03-1998 Through 27-03-1998",

year = "1998",

doi = "10.1007/bfb0040816",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "V.W. Porto and N. Saravanan and D. Waagen and A.E. Eiben",

booktitle = "Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings",