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pro vyhledávání: '"莊易蒼"'
Autor:
Yi-Tang Chuang, 莊易蒼
100
This paper proposes a Self-Splitting K-Means generated Neural Fuzzy System with Support Vector Regression (SSKNFS-SVR). The consequent layer in SSKNFS-SVR is a Takagi-Sugeno-Kang (TSK)-type or singleton consequent. For structure learning, a
This paper proposes a Self-Splitting K-Means generated Neural Fuzzy System with Support Vector Regression (SSKNFS-SVR). The consequent layer in SSKNFS-SVR is a Takagi-Sugeno-Kang (TSK)-type or singleton consequent. For structure learning, a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/09058589041746215818
