组合BP神经网络在数据挖掘中的应用

在吸收了人工神经网络解决非线性问题优点的基础上，针对数据挖掘的特点，提出了一种组合BP神经网络的数据挖掘方法。该方法是按照一定方式将n个BP网络组合成一个复杂的BP网络模型，并运用改进的启发式BP算法以实现有用模式的挖掘，能够大大缩短训练时间和提高挖掘精度。

Application of Combined BP Neural Network in Data Mining

On the basis of the advantages of artificiaI neural networks in nonlinear problems, we presented an approach combining BP neural network data mining, which combine several BP neural networks to form a complicated BP network model in a certain rule while utilizing an improved heuristic BP algorithm to acquire useful mining patterns which shall greatly reduce training time and increase the computing precision.