教師資料查詢 | 類別: 會議論文 | 教師: 李鴻璋 Lee Hung-chang (瀏覽個人網頁)

標題:Evaluation on Neural Network and Fuzzy Method---In Terms of Learning
學年85
學期1
發表日期1996/12/11
作品名稱Evaluation on Neural Network and Fuzzy Method---In Terms of Learning
作品名稱(其他語言)
著者Lee, Hung-Chang;Wang, Tao Jung
作品所屬單位淡江大學資訊管理學系
出版者
會議名稱1996 Asian Fuzzy Systems Symposium--Soft Computing in Intelligent Systems and Information Processing
會議地點屏東縣, 臺灣
摘要Like a dawn light scattering into the cloud sky of A.I., Neural Network and Fuzzy Logic become state-of-the- art technologies in exploring the intellectual. To make a judgment between both technologies, we propose an evaluation on them in the view point of learning to classification. Since there are varieties models proposed within both technologies, we focus on most significant model, i.e., Back Propagation Network (BPN) [1] and Wang's fuzzy rule generator [2]. First in the evaluation, we introduce a Gravity Effect Field to illustrate these two models' influence under the existence of one instance. After that, we virtually construct two classifications problems and discuss the behaviors of both methods through the Gravity Effect Field. Finally, we propose another two real examples to demonstrate the results. We conclude that Wang's more suitable for the piecewise region classification and need representative or complete training samples than BPN. BPN is more training data tolerant and less network parameter sensible than that of Wang's fuzzy rule generator. However, basic instinct problems still exist, BPN behaviors more black box than fuzzy rule generator.
關鍵字模糊學習;逆傳遞類神經網路;模糊規則產生器;Fuzzy Learning;Back Propagation Neural Network;Fuzzy Rule Generator
語言英文
收錄於
會議性質國內
校內研討會地點
研討會時間19961211~19961214
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處Proceedings of the 1996 Asian Fuzzy Systems Symposium--Soft Computing in Intelligent Systems and Information Processing,頁79-84
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