摘要
通过分析模糊理论与人工神经网络在知识处理方面的特点,将人工神经网络技术结合到模糊推理系统中,以模糊推理为核心,采用人工神经网络技术提取模糊规则,形成一类具有学习功能的模糊智能系统。本文介绍了该模型的基本思想,规则提取方法及模糊推理方法。
Abstract This paper discusses and compares the features of fuzzy inference systems and Artificial Neural Networks(ANN), and presents a fuzzy inference model based on neural networks. In this model, neural network, with their superb learning capabilities,extract fuzzy rules from samples. So, the fuzzy system presented here can formulate fuzzy rules adaptively according to various samples. The model's framework, ANN's architecture,and fuzzy inference methods are introduced in this paper.
出处
《计算机辅助工程》
1998年第3期6-10,共5页
Computer Aided Engineering