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.
出处
《微型机与应用》
2011年第2期82-84,共3页
Microcomputer & Its Applications
关键词
数据挖掘
遗传BP神经网络
油气识别
data mining
genetic BP-neural network
oil-gas recognition
