標題: IMPLEMENTATION OF A FUZZY INFERENCE SYSTEM USING A NORMALIZED FUZZY NEURAL-NETWORK
作者: CHAO, CT
TENG, CC
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: FUZZY INFERENCE SYSTEM;FUZZY NEURAL NETWORK;RULE COMBINATION
公開日期: 13-十月-1995
摘要: In this paper, we present a normalized fuzzy neural network (NFNN) to implement fuzzy inference systems. The proposed NFNN architecture makes an effective rule combination technique possible and thus enables us to significantly reduce the number of rules in the NFNN. We also derive a sufficient condition for rule combination and provide an algorithm to perform rule combination. Simulation results show that when combined with a rule elimination method the proposed rule combination method can greatly reduce the number of rules in the NFNN.
URI: http://hdl.handle.net/11536/1699
ISSN: 0165-0114
期刊: FUZZY SETS AND SYSTEMS
Volume: 75
Issue: 1
起始頁: 17
結束頁: 31
顯示於類別:期刊論文


文件中的檔案:

  1. A1995RU52400002.pdf