基于GA-BP算法的模糊神经网络控制器研究

Research of Fuzzy Neural Network Controller Based on GA-BP Algorithm

提出了一种基于GA-BP算法的模糊神经网络控制器,将GA的离线全局寻优及BP实时学习相结合,克服了单独应用GA算法或BP算法调节模糊神经网络控制器参数存在的缺陷。仿真结果表明经GA-BP算法优化的控制器性能优于传统算法调节的控制器。

A fuzzy neural network controller based on the GA-BP algorithm is proposed. The union of GA offline overall situation optimization and BP real-time study overcomes the deficiency which separately uses GA or BP tune the parameters of fuzzy neural network controller. Simulation results expatiate that the performance of GA-BP algorithm controller is better than that of traditional algorithm controller.