改进的遗传BP神经网络数据挖掘算法及应用  

Research and application of data mining algorithm based on improved genetic BP-neural network

作　　者：胡剑策[1] 吴国平[2] 

机构地区：[1]温州医学院,浙江温州325035 [2]中国地质大学,湖北武汉430074

出　　处：《微型机与应用》2011年第2期82-84,共3页Microcomputer & Its Applications

摘　　要：介绍了数据挖掘的定义和常用方法,研究了基于遗传BP神经网络的数据挖掘算法,并对其交叉算子进行了改进,提高算法训练速度。实验结果表明,将该方法应用于油气识别中,效果良好,具有一定的实际应用价值。The definitions and commonly used methods of data mining were introduced. And the data mining algorithm based on improved genetic BP-neural network was brought forward. Then,the improvement to its overlapping operator was made to raise its training speed. Finally,the algorithm was applied in Oil-gas recognition,the results of which proved that the application effects were satisfactory and the approaches were provided with particular popularized values.

关 键 词：数据挖掘 遗传BP神经网络 油气识别 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TE325[自动化与计算机技术—计算机科学与技术]