文章基本信息

标题：Rules Extractor from PLSQL
本地全文：下载
作者：Sumit Dubey ; Kanchan Lata
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2012
卷号：4
期号：06
页码：1124-1136
出版社：Engg Journals Publications
摘要：The complexity of real production systems implies more difficulties to make an efficient monitoring and especially fault diagnosis. We propose a new method supporting the operator to find the cause and the origin of a fault. To obtain a diagnosis aid system that is both reactive and easy to configure, we define a set of artificial intelligence tools using neuron network techniques. The interest of these techniques is to combine the neural networks learning capabilities and PLSQL business logics and extracting the rules into natural language.
关键词：Business rules extraction; PLSQL; natural language processing; neural network.