Paper Abstract and Keywords |
Presentation |
2015-06-25 16:10
Evolutionary learning of hysteresis neural networks Kei Yamaoka, Toshimichi Saito (HU) NC2015-10 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper studies evolutionary leaning algorithm for hysteresis associative memories (HAM).
The HAM is characterized by hysteresis activation function and ternary weighting parameters.
The HAM is described by a piecewise linear differential equation and storage of desired memories is guaranteed theoretically.
In order to suppress the spurious memories,
we present a simple evolutionary algorithm.
The algorithm is based on the greedy search method where individuals correspond to weighting parameters and the cost function evaluates the number of spurious memories.
The number of individuals can increase depending on the cost function.
Performing elementary numerical experiments, the algorithm capability is investigated. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Associative Memories / Greedy Search Method / Evolutionary Learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 111, NC2015-10, pp. 89-92, June 2015. |
Paper # |
NC2015-10 |
Date of Issue |
2015-06-17 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2015-10 |
Conference Information |
Committee |
NC IPSJ-BIO IBISML IPSJ-MPS |
Conference Date |
2015-06-23 - 2015-06-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Institute of Science and Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine Learning Approach to Biodata Mining, and General |
Paper Information |
Registration To |
NC |
Conference Code |
2015-06-NC-BIO-IBISML-MPS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Evolutionary learning of hysteresis neural networks |
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Keyword(1) |
Associative Memories |
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Greedy Search Method |
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Evolutionary Learning |
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1st Author's Name |
Kei Yamaoka |
1st Author's Affiliation |
Hosei University (HU) |
2nd Author's Name |
Toshimichi Saito |
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Hosei University (HU) |
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Speaker |
Author-1 |
Date Time |
2015-06-25 16:10:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2015-10 |
Volume (vol) |
vol.115 |
Number (no) |
no.111 |
Page |
pp.89-92 |
#Pages |
4 |
Date of Issue |
2015-06-17 (NC) |
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