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 en
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 TWN
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
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95089 )

機構典藏連結