用C++实现的BP神经网络算法程序， 用于预测数据及模数识别-C++ BP

BP神经网络用与实现不同故障的分类，对复杂信号模式识别是一种很有效的方法。-BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.

此例可采用BP神经网络算法用于设备故障类型的模式识别程序。 本次为变压器故障（均为低压测故障）类型的识别。-This example can be used BP neural network algorithm for pattern recognition procedures for equipment fault type. The identification of the type of transformer fault (both low pressure fault detec

基于BP网络的手写体大写字母识别,相对入门(Handwritten Capital Letter Recognition Based on BP Network)