摘要： 提出了一种基于模糊逻辑和神经网络的自学习网络模型和一种结合自组织学习 和BP学习的BPSOM混合学习算法。该模型通过BPSOM算法训练样本，能自动生成模糊逻辑规则 ，调节输入、输出变量的隶属函数；而且该算法比通常的BP学习算法收敛性好、速度快。

关键词: 神经网络, 自学习, 模糊逻辑规则

Abstract: A learning network model based on fuzzy logic and neural network an d a hybrid learning algorithm BPSOM combining self-organizing learning with BP l earning are proposedis in this paper. This network model can automatically produ ce fuzzy logic rules and adjust membership function through the BPSOM algorithm. This algorithm converges much faster than original BP learning algorithm.

中图分类号: 

• TP181