一种基于模糊神经网络的知识获取方法

从收集的数据中获取知识一直是一个难点。符号智能和计算智能是模拟人类智能认知层次模型的两个方面,其中的模糊逻辑系统与神经计算是当代人工智能的重要发展趋向,神经计算通过目标系统的响应数据进行学习,模糊模型易于理解,它们的结合将优势互补。总结了石油勘探开发信息处理多专家系统的开发中,运用模糊神经网络模型获取知识的研究和实现。

A METHOD OF GETTING KNOWLEDGE BASED ON TH FUZZY NERVE NETWORK

It’s difficulty to get the knowledge from the collected da-ta, sign brainpower and computing brainpower are two sides to simulate cognizing levels model of human brainpower. Corre-spondence to it, the fuzzy logic system and the neural comput-ing system are the important developing tend at present. Theneural network learns with the response data of the objective system and the fuzzy model is prone to understand. All advan-tages will be impersonated with the combination of them. This paper sums up the research and realization about the knowledge getting with this model in the multi-ES of the informationprocessing of the petroleum exploration and exploitation.