The application of fuzzy set and neural network in system identification and classification

K. B. Goh, W. L. Chiang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Outlines a new learning algorithm to deal with interval information for a feedforward neural network. From the concept of fuzzy sets and using the vertex method, a new backpropagation neural network, called virtual vertex backpropagation, VVBP, is presented. A dynamic tracing machine is introduced to overcome weight correction in the learning process. Two applications in simple system identification and pattern classification are presented to discuss the effectiveness of VVBP.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
發行者Institute of Electrical and Electronics Engineers Inc.
頁面145-152
頁數8
ISBN(電子)0818638508, 9780818638503
DOIs
出版狀態已出版 - 1993
事件2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993 - College Park, United States
持續時間: 25 4月 199328 4月 1993

出版系列

名字Proceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993

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???event.eventtypes.event.conference???2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993
國家/地區United States
城市College Park
期間25/04/9328/04/93

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