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Paper Abstract and Keywords
Presentation 2013-06-28 10:55
Learning of periodic orbit into cellular automata with mixed rules and its stability
Ryo Sawayama, Toshimichi Saito (Hosei Univ.) NC2013-7
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents the mixed rules cellular automaton (MCA) and considers its basic learning algorithm.
The MCA is governed by mixed rules depending on the space. As compared with standard single rule cellular automaton, the MCA can generate more variety of spatiotemporal patterns.
The purpose of learning algorithm is storage of a desired teacher signal and control of its stability. The genetic algorithm is used in the learning where the chromosome is a subset of rules and the fitness corresponds to local stability.
As a typical example of the teacher signal, we use a periodic control signal of the dc-ac inverters. As parameters are selected suitably, the teacher signal can be stored and can be stabilized. The CA dynamics in the learning process is analyzed by the digital return map.
Keyword (in Japanese) (See Japanese page) 
(in English) Cellular Automata / Genetic Algorithm / Return Map / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 111, NC2013-7, pp. 107-110, June 2013.
Paper # NC2013-7 
Date of Issue 2013-06-20 (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)
Download PDF NC2013-7

Conference Information
Committee NC IPSJ-BIO  
Conference Date 2013-06-27 - 2013-06-28 
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 2013-06-NC-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning of periodic orbit into cellular automata with mixed rules and its stability 
Sub Title (in English)  
Keyword(1) Cellular Automata  
Keyword(2) Genetic Algorithm  
Keyword(3) Return Map  
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1st Author's Name Ryo Sawayama  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Toshimichi Saito  
2nd Author's Affiliation Hosei University (Hosei Univ.)
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Speaker Author-1 
Date Time 2013-06-28 10:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-7 
Volume (vol) vol.113 
Number (no) no.111 
Page pp.107-110 
#Pages 4 
Date of Issue 2013-06-20 (NC) 

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