Evaluation of Self-Organized Learning in a Neural Network by Means of Mutual Information
Summary :
We reported that a competitive learning neural network had the ability of self-organization in the classification of questionnaire survey data. In this letter, its self-organized learning was evaluated by means of mutual information. Mutual information may be useful to find efficently the network which can give optimal classification.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.5 pp.579-582
- Publication Date
- 1995/05/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section of Letters Selected from the 1994 IEICE Fall Conference)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Toshiko KIKUCHI, Takahide MATSUOKA, Toshiaki TAKEDA, Koichiro KISHI, "Evaluation of Self-Organized Learning in a Neural Network by Means of Mutual Information" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 5, pp. 579-582, May 1995, doi: .
Abstract: We reported that a competitive learning neural network had the ability of self-organization in the classification of questionnaire survey data. In this letter, its self-organized learning was evaluated by means of mutual information. Mutual information may be useful to find efficently the network which can give optimal classification.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_5_579/_p
Copy
@ARTICLE{e78-a_5_579,
author={Toshiko KIKUCHI, Takahide MATSUOKA, Toshiaki TAKEDA, Koichiro KISHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Evaluation of Self-Organized Learning in a Neural Network by Means of Mutual Information},
year={1995},
volume={E78-A},
number={5},
pages={579-582},
abstract={We reported that a competitive learning neural network had the ability of self-organization in the classification of questionnaire survey data. In this letter, its self-organized learning was evaluated by means of mutual information. Mutual information may be useful to find efficently the network which can give optimal classification.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Evaluation of Self-Organized Learning in a Neural Network by Means of Mutual Information
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 579
EP - 582
AU - Toshiko KIKUCHI
AU - Takahide MATSUOKA
AU - Toshiaki TAKEDA
AU - Koichiro KISHI
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1995
AB - We reported that a competitive learning neural network had the ability of self-organization in the classification of questionnaire survey data. In this letter, its self-organized learning was evaluated by means of mutual information. Mutual information may be useful to find efficently the network which can give optimal classification.
ER -
English
