在提出广义模糊推理概念的基础上 ,提出并分析了广义模糊径向基 (RBF)神经网络模型 ,给出了该网络的广义学习算法。仿真结果验证了广义模糊 RBF神经网络模型具有良好的函数逼近能力 ,所提出的学习算法是可行和有效的 Based on the concept of generalized fuzzy inference, a generalized fuzzy radial basis (RBF) neural network model is proposed and analyzed, and a generalized learning algorithm for the network is given. The simulation results verify that the generalized fuzzy RBF neural network model has good function approximation ability, and the proposed learning algorithm is feasible and effective