基于神经网络模式的遗传算法在CRM的数据挖掘优化研究

Based on neural network models of genetic algorithm optimization of CRM data mining

提出了一种有利于优化CRM的基于神经网络模式的遗传算法,在对该算法仿真研究的基础上,将其应用于CRM的数据挖掘中,用于优化BP神经网络模型的拓扑结构和连接权值,并给出了相关的遗传操作和实验结果。通过论证分析认为,该算法克服了原有几种用遗传算法优化CRM神经网络数据挖掘模型的缺点和不足,提高了数据的精度和准确性,具有广泛的应用价值。

Presents a help to optimize based on neural network model to CRM of genetic algorithm,the algorithm simulation study on the basis of CRM,applied to data mining,the BP neural network model is used to optimize the topological structure and connection weight values,and gives the related genetic manipulation and experimental results.Through verification analysis thinks,this method overcomes original several with genetic algorithm to optimize the CRM neural network data mining modeling shortcomings and the insufficiency,improving the precision and accuracy of data,with wide application value.