Paper Abstract and Keywords |
Presentation |
2009-11-11 11:10
Chaotic Time Series Prediction by Combining Echo-State Networks and Radial Basis Function Networks Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2009-86 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this report, we describe a chaotic time series prediction method by a network which combines echo
state networks (ESN) with radial basis function networks (RBFN). ESN is a neural network consisting of three layers.
The hidden layer is called a“ reservoir ”and consists of many neurons. RBFN is a neural network using radial basis
function (RBF) for output function of the neurons. It represents non-linear functions by superimposing RBF functions.
In numerical experiments, time series of the Mackey-Glass equation and the Langford equation are predicted. As a
result, we find that the proposed model shows higher prediction ability than the conventional ESN. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Echo-State Network / Radial Basis Function Network / chaotic time series / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 269, NLP2009-86, pp. 27-30, Nov. 2009. |
Paper # |
NLP2009-86 |
Date of Issue |
2009-11-04 (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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NLP2009-86 |
Conference Information |
Committee |
NLP |
Conference Date |
2009-11-11 - 2009-11-14 |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2009-11-NLP |
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Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Chaotic Time Series Prediction by Combining Echo-State Networks and Radial Basis Function Networks |
Sub Title (in English) |
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Keyword(1) |
Echo-State Network |
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Radial Basis Function Network |
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chaotic time series |
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1st Author's Name |
Yoshitaka Itoh |
1st Author's Affiliation |
Tokyo Denki University (Tokyo Denki Univ.) |
2nd Author's Name |
Masaharu Adachi |
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Tokyo Denki University (Tokyo Denki Univ.) |
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Speaker |
Author-1 |
Date Time |
2009-11-11 11:10:00 |
Presentation Time |
20 minutes |
Registration for |
NLP |
Paper # |
NLP2009-86 |
Volume (vol) |
vol.109 |
Number (no) |
no.269 |
Page |
pp.27-30 |
#Pages |
4 |
Date of Issue |
2009-11-04 (NLP) |
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