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Paper Abstract and Keywords
Presentation 2021-10-28 15:55
A Study on Improvement Learning Performance with Chaos Neurons
Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23
Abstract (in Japanese) (See Japanese page) 
(in English) In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the other hand, the chaotic neural networks, which is introduced chaotic dynamics found in the nervous system in vivo, was reported to have the ability to avoid local minimum. In this paper, we constructed a new model of the chaotic neural network by applying Chebyshev-type function as the activation function. We compared the learning ability of the constructed model with that of conventional periodic chaotic neuron models and so on. As a specific learning problem, we took up the n-bit parity problem. Each model was then applied to a three-layer neural network for
training. As a result, the learning ability of the constructed model is not as good as that of the conventional periodic chaotic neuron model. The differences between the two results are discussed by showing the distribution of the output.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaos / Neural Networks / Back Propagation / n-bit Parity Problem / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 223, NC2021-23, pp. 28-33, Oct. 2021.
Paper # NC2021-23 
Date of Issue 2021-10-21 (NC) 
ISSN 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 NC2021-23

Conference Information
Committee MBE NC  
Conference Date 2021-10-28 - 2021-10-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2021-10-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Improvement Learning Performance with Chaos Neurons 
Sub Title (in English)  
Keyword(1) Chaos  
Keyword(2) Neural Networks  
Keyword(3) Back Propagation  
Keyword(4) n-bit Parity Problem  
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1st Author's Name Renshi Nagasawa  
1st Author's Affiliation Nagaoka University of Technology (NUT)
2nd Author's Name Masahiro Nakagawa  
2nd Author's Affiliation Nagaoka University of Technology (NUT)
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Speaker Author-1 
Date Time 2021-10-28 15:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2021-23 
Volume (vol) vol.121 
Number (no) no.223 
Page pp.28-33 
#Pages 6 
Date of Issue 2021-10-21 (NC) 

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