论文信息 - A New Parameter Identification Method for Type-1 TS Fuzzy Neural Network

A New Parameter Identification Method for Type-1 TS Fuzzy Neural Network

Conjugate gradient methods can be used with advantages such as fast convergence and low memory requirement in real applications. A conjugate gradient-based neuro-fuzzy learning algorithm for zero-order Takagi-Sugeno inference systems is proposed in this paper. Compared with the existing gradient-based algorithm, this method enhances the learning performance.

Jian Wang | Long Li | Zhen Zhang | Tao Gao | Zhanquan Sun

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