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Paper Abstract and Keywords
Presentation 2008-12-10 16:30
Prediction of chaotic time series by neural networks with an improved particle swarm optimization
Hironori Nakamura, Masaharu Adachi (Denki Univ.) NLP2008-91
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we describe prediction of chaotic time series.
In concrete, we use neural networks as a prediction system and explain about an improved method of updating weights and biases of neural networks by a particle swarm optimization.
In the improved method of particle swarm optimization, it exchanges elements of a vector of the particle position with a certain probability.
Therefore, we expect that the search may escape from local minima and it achieves a better solution.
In this report, we applied the proposed particle swarm optimization and conventional ones to the same neural networks of their structures and compare with the performances of prediction of chaotic time series.
Then, we show the effectiveness of the proposed method in the optimization of neural networks for predicting chaotic time series.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle Swarm Optimization / Neural Network / Chaotic Time Series / / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 336, NLP2008-91, pp. 113-118, Dec. 2008.
Paper # NLP2008-91 
Date of Issue 2008-12-02 (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)
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Conference Information
Committee NLP  
Conference Date 2008-12-09 - 2008-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2008-12-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction of chaotic time series by neural networks with an improved particle swarm optimization 
Sub Title (in English)  
Keyword(1) Particle Swarm Optimization  
Keyword(2) Neural Network  
Keyword(3) Chaotic Time Series  
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1st Author's Name Hironori Nakamura  
1st Author's Affiliation Tokyo Denki University (Denki Univ.)
2nd Author's Name Masaharu Adachi  
2nd Author's Affiliation Tokyo Denki University (Denki Univ.)
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Speaker Author-1 
Date Time 2008-12-10 16:30:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2008-91 
Volume (vol) vol.108 
Number (no) no.336 
Page pp.113-118 
#Pages 6 
Date of Issue 2008-12-02 (NLP) 

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