The Dynamical Recollection of Interconnected Neural Networks Using Meta-heuristics-Reference-Cited by-同舟云学术

The Dynamical Recollection of Interconnected Neural Networks Using Meta-heuristics

Published:2011 Issue:8 Volume:131 Page:1475-1484
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Kuremoto Takashi¹,Watanabe Shun¹,Kobayashi Kunikazu¹,Feng Laing-Bing¹,Obayashi Masanao¹

Affiliation:

1. Graduate School of Science and Engineering, Yamaguchi University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/131/8/131_8_1475/_pdf

Reference34 articles.

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2. (2) J. J. Hopfield : “Neurons with Graded Response Have Collective Computational Properties Like Those of Two-state Neurons”, Proc. of the National Academy of Sciences U.S.A, Vol. 81, pp. 3088-3092 (1984)

3. (3) G. E. Hinton and T. J. Sejnowski : “Analyzing Cooperative Computation”, Proc. of the 5th Annual Congress of the Cognitive Science Society (1983)

4. (4) S. E. Farlman, G. E. Hinton, and T. J. Sejnowski : “Massively Parallel Architectures for AI: NETL, Thistle, Boltzmann Machine”, Proc. of the National Conference on Artificial Intelligence AAAI-83, pp. 109-113 (1983)

5. (5) G. E. Hinton and R. R. Salakhutdinov : “Reducing the Dimentionality of Data with Neural Networks”, Science, Vol. 313, No. 5786, pp. 504-507

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