ID | 19676 |
Eprint ID | 19676
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フルテキストURL | |
著者 |
Nakano Kazuyoshi
Toin University of Yokohama
Yamaguchi Daisuke
Toin University of Yokohama
Katayama Fumiyo
Toin University of Yokohama
Takahashi Muneo
Toin University of Yokohama
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抄録 | Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagent learning method into the usual Neural Network and a
Rough Neural Network and Genetic Programming be compared.
The data of the prostatic cancer offered by the medical institution and a renal cancer was used for verification of a system. Inspection data of the renal cancer consist of special data. We think improvement of the precision of a system which using the data from initial value of the network.
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キーワード | Intelligent Multiagent System
Neural Networks
Medical Diagnostic Support System
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発行日 | 2009-11-10
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出版物タイトル |
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
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巻 | 2009巻
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号 | 1号
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出版者 | IEEE SMC Hiroshima Chapter
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開始ページ | 192
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終了ページ | 195
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ISSN | 1883-3977
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NCID | BB00577064
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資料タイプ |
会議発表論文
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言語 |
英語
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著作権者 | IEEE SMC Hiroshima Chapter
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イベント | 5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2009
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イベント地 | 東広島市
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イベント地の別言語 | Higashi-Hiroshima City
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論文のバージョン | publisher
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査読 |
有り
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Eprints Journal Name | IWCIA
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