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pro vyhledávání: '"Wei, Yuan-Cheng"'
Publikováno v:
IEEE Transactions on Fuzzy Systems. 19:717-728
This paper proposes the implementation of a zero-order Takagi-Sugeno-Kang (TSK)-type fuzzy neural network (FNN) on graphic processing units (GPUs) to reduce training time. The software platform that this study uses is the compute unified device archi
Autor:
Wei-Yuan Cheng, Chia-Feng Juang
Publikováno v:
Fuzzy Sets and Systems. 163:24-44
This paper proposes an incremental support vector machine-trained TS-type fuzzy classifier (ISVM-FC). The ISVM-FC is a fuzzy system that consists of Takagi-Sugeno (TS)-type fuzzy rules. Structure and parameters in the ISVM-FC are trained incrementall
An Interval Type-2 Fuzzy-Neural Network With Support-Vector Regression for Noisy Regression Problems
Publikováno v:
IEEE Transactions on Fuzzy Systems. 18:686-699
This paper proposes an interval type-2 fuzzy-neural network with support-vector regression (IT2FNN-SVR) for noisy regression problems. The antecedent part in each fuzzy rule of an IT2FNN-SVR uses interval type-2 fuzzy sets, and the consequent part is