An Expert System for Comprehensive Diagnosis in Store Management System

摘要：

Aiming at the condition that the fault mechanism of a store management system is complicated and it is difficult for diagnosis, an expert system for the equipment based on both neural networks and generate rules is discussed. At first, expert experience including fault phenomenons and reasons are summarized. Considering that expert knowledge is miscellaneous and is contact with too many parts, a new coding strategy is proposed by adopting Classification processing methods. NN is the primary tool of establishing Inference model and generate rules are mainly used for assistance, fault diagnosis algorithm of the expert system is designed. Then the expert system is realized based on Matlab Guide tool, results of the simulation proved the methods effective.

关键词： fault diagnosis Store Management System(SMS) expert system Neural Network(NN) rule

作者: Jing Xianyong Liu Zhanchen Xie Zenghui Li Yingchun

作者单位: Department of Aerial Weapon Airforce Engineer University Engineering College Xian, China The 4th Engineer Design Academe of General Staff Office Beijing, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 371-374

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）