Size-Reducing RBF Network and Its Application to Control Systems.
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- Itoh Shinji
- Hitachi, Ltd.
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- Murata Junichi
- Faculty of Information Science and Electrical Engineering, Kyushu University
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- Hirasawa Kotaro
- Graduate School of Information, Production and Systems of Waseda University
Bibliographic Information
- Other Title
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- ノード数減少型RBFネットワークとその制御器設計問題への応用
- ノードスウ ゲンショウガタ RBF ネットワーク ト ソノ セイギョキ セッケイ モンダイ エ ノ オウヨウ
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Abstract
In this paper, a new approach is proposed to determine the structure of radial basis function (RBF) networks. This approach starts with an enough number of hidden nodes and reduces the number of nodes in the course of learning. The algorithm can be employed in the problems where only the performance index of the network output is given, as well as in the supervised training problems where the desired output values are available. Also, it is applicable to either of classification problems and function approximation problems.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 123 (2), 338-344, 2003
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204604832256
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- NII Article ID
- 130000089386
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 6450369
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed