• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (4): 156-158.

• 论文 • 上一篇    

基于神经网络专家系统的研究与实现

张绍兵[1] 季厌浮[2] 高志军[1]   

  • 出版日期:2008-04-01 发布日期:2010-05-19

  • Online:2008-04-01 Published:2010-05-19

摘要:

针对传统专家系统推理能力弱和智能水平低等不足,本文采用神经网络方法解决了传统专家系统在知识表示和知识获取等方面的问题。本文从描述传统专家系统几点不足出发,详细阐述了神经网络专家系统的基本原理和框架结构,最后选取三层BP神经网络模型,给出了钻井故障诊断系统的神经网络专家系统的实现。

关键词: 神经网络 专家系统 知识表示 知识获取 推理

Abstract:

In allusion to the insufficiencies such as the weak inference capability and low intelligence level of traditional expert systems, this paper solves t he questions of knowledge representation and knowledge acquisition of traditional expert systems based on neural networks. The paper begins with the several insufficiencies of traditional expert systems, expatiates on the fundamental theory and the framework of expert systems based on neural networks, and finally gives the implementation of a fault-diagnosis system for artesian wells by selecting a three-layer BP neural network model.

Key words: neural network;expert system;knowledge representation;knowledge acquisition;inference