模糊神经网络是将人工神经网络与模糊逻辑系统相结合的一种能处理抽象信息的网络,是控制理论中智能控制研究领域一个十分活跃的分支。模糊神经网络吸取了神经网络和模糊系统的长处,在处理非线性、模糊性等问题上有很大的优越性,在智能信息处理方面存在巨大的潜力,使得越来越多的专家学者投入到这个领域中来,并取得了卓有成效的研究成果。文章介绍了模糊神经网络的发展、优点、应用及其发展动向,论述了模糊神经网络目前的几个研究热点。 Fuzzy neural network is a kind of network which can process abstract information by combining artificial neural network and fuzzy logic system. It is a very active branch of intelligent control research in control theory. Fuzzy neural network draws the strengths of neural networks and fuzzy systems, and has great advantages in dealing with nonlinear, fuzziness and other issues, there is great potential in intelligent information processing, making more and more experts and scholars devoted This field has come and achieved fruitful research results. This paper introduces the development, advantages, applications and development trends of fuzzy neural network. Several current research focuses of fuzzy neural network are discussed.