基于模糊神经网络的专家系统及应用

AN EXPERT SYSTEM BASED ON FUZZY NEURAL NETWORK AND ITS APPLICATIONS

专家系统前景广阔，但其进一步发展必须引入其他先进技术．神经网络和模糊系统是解决知识获取和经验性知识的不确定性等传统专家系统的‘瓶颈’问题的全新途径．文中将模糊神经网络技术引入专家系统中，介绍了基于模糊神经网络的专家系统构成的原理、方法、结构和实现技术．文中将基于模糊多层感知器构成的专家系统应用于遥感图象的分类。

The further development of expert systems needs adopting other advanced techniques.Neural networks and fuzzy systems are completely new ways which help to overcome the bottlenecks of conventional expert systems,such as the difficulties in acquiring knowledge and the uncertainties of the partial information.The application of fuzzy neural networks in expert systems is introduced.The principle,method,structure and realized techniques of the expert system based on fuzzy multilayer perceptron (FMLP) are described.An expert system based on FMLP is applied in classifying remote sensing images,thus,achieving satisfying result.