| Paper Abstract and Keywords |
| Presentation |
2010-11-20 09:55
An Approach to Logical Synthesis by Binary Neural Networks Yuta Nakayama, Ryo Ito, Toshimichi Saito (Hosei Univ.) NLP2010-108 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper studies a genetic-algorithm-based learning of binary neural networks (BNN) and its realization function of Boolean functions. We have two important results. First, the BNN can be equivalent to the minimum logical-sum form: the learning algorithm can be used as fast logical synthesis. Second, the BNN can realize a class of Boolean functions with smaller number of terms (hidden neurons) than that by the Quine-McCluskey algorithm: the learning algorithm may be developed into an effective logical synthesis methods. Performing typical numerical experiment, the algorithm efficiency is confirmed. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Binary Neural networks / Genetic algorithm / Logic synthesis / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 110, no. 299, NLP2010-108, pp. 43-47, Nov. 2010. |
| Paper # |
NLP2010-108 |
| Date of Issue |
2010-11-12 (NLP) |
| 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) |
| Download PDF |
NLP2010-108 |
| Conference Information |
| Committee |
NLP |
| Conference Date |
2010-11-19 - 2010-11-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tohoku University (RIEC) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2010-11-NLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
An Approach to Logical Synthesis by Binary Neural Networks |
| Sub Title (in English) |
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| Keyword(1) |
Binary Neural networks |
| Keyword(2) |
Genetic algorithm |
| Keyword(3) |
Logic synthesis |
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| 1st Author's Name |
Yuta Nakayama |
| 1st Author's Affiliation |
Hosei University (Hosei Univ.) |
| 2nd Author's Name |
Ryo Ito |
| 2nd Author's Affiliation |
Hosei University (Hosei Univ.) |
| 3rd Author's Name |
Toshimichi Saito |
| 3rd Author's Affiliation |
Hosei University (Hosei Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2010-11-20 09:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
NLP2010-108 |
| Volume (vol) |
vol.110 |
| Number (no) |
no.299 |
| Page |
pp.43-47 |
| #Pages |
5 |
| Date of Issue |
2010-11-12 (NLP) |