基于快速模拟退火算法的T—S模糊神经网络学习算法

The application of a fast simulated annealing algorithm in T-S fuzzy neural network

给出了一种T—S模糊模型的模糊神经网络的一种实现方法。将快速模拟退火算法用于网络参数的优化，实现T—S模型的辩识。将快速模拟退火、模糊逻辑和神经网络融合在一个系统中，并用仿真实例验证了用本文算法的有效性。

A realization method of T-S fuzzy neural network and an improved fast simulated annealing to optimize network parameters and to realize the identification of T-S fuzzy model is presented in this paper. The fast simulated annealing, fuzzy logic, and neural network are fused into one system successfully. The simulated results have proved that this algorithm is effective.