利用BP神经网络与RBF（径向基函数）网络对三类目标（W.zip, T.zip, B.zip）进行分类，比较两种网络的分类性能-BP neural network and RBF (Radial Basis Function) network on three goals (W.zip, T.zip, B.zip) categorize performance comparison of the two networks

能快速的使用lssvm去做多分类和回归，能高效的调用matlab函数库-Can quickly use classification and regression libsvm do more to efficiently call matlab function library

运用BP神经网络对齿轮箱故障进行分类，能很好地对故障分类。(Classification of gearbox faults using BP neural network)