IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2005-11-18 13:25
Ensemble Self-Generating Neural Networks for Chaotic Time Series Prediction
Masaki Nakahara, Hirotaka Inoue (KNCT)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper,we present a performanse characteristic of self-generating neural networks(SGNNs) applied
to time series prediction. Although SGNNs are originally proposed on adopting to classi cation/clustering
problems by automatically constructing self-generating neural tree(SGNT) from given training data set, this SGNNs
architecture seems to be applicable to time series prediction. So, we investigate the possibility of SGNNs application
to time series prediction problems. Moreover, we investigate an ensemble averaging e ect of SGNTs to improve the
prediction accuracy for two time series prediction problems.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-Generating Neural Networks, / Ensemble Learning, / Time Series Prediction, / Chaos / / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 416, NLP2005-63, pp. 7-12, Nov. 2005.
Paper # NLP2005-63 
Date of Issue 2005-11-11 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF

Conference Information
Committee NLP  
Conference Date 2005-11-18 - 2005-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Special session and general. Subject of special session is ``Randomness and prediction---from fundamentals to applications''. 
Paper Information
Registration To NLP 
Conference Code 2005-11-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Ensemble Self-Generating Neural Networks for Chaotic Time Series Prediction 
Sub Title (in English)  
Keyword(1) Self-Generating Neural Networks,  
Keyword(2) Ensemble Learning,  
Keyword(3) Time Series Prediction,  
Keyword(4) Chaos  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Masaki Nakahara  
1st Author's Affiliation Kure National College of Technology (KNCT)
2nd Author's Name Hirotaka Inoue  
2nd Author's Affiliation Kure National College of Technology (KNCT)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2005-11-18 13:25:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2005-63 
Volume (vol) IEICE-105 
Number (no) no.416 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2005-11-11 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan