反向传播网络(Back-Propagation Network，简称BP网络)是将W-H学习规则一般化，对非线性可微分函数进行权值训练的多层网络 -Back Propagation Network (Back-Propagation Network, referred to as BP networks) is to learn the rules WH generalized, non-linear differentiable function on weight training m

用BP算法实现函数 逼近。 说明：1）网络结构为三层（输入层、1个隐层和输出层） 2）获取两组数据，一组作为训练集，一组作为测试集 3）用训练集训练网络 4）用测试集检验训练结果 -With BP algorithm function approximation. Descr iption: 1) The network structure of the three-layer (input layer, a hidden layer and output laye

提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to t