hapter8.1.m为使用交叉验证的GRNN神经网络预测程序 chapter8.2.m为BP和GRNN效果比较程序 注意：由于是比较两种网络结果，需要先运行chapter8.1.m后运行chapter8.2.m 以保证两网络使用了相同的数据进行训练。

GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN data to predict- based on generalized regression neural network volume forecast

一个MATLAB程序 GRNN的数据预测，本例程为基于广义回归神经网络货运量预测-GRNN data to predict a MATLAB program, and this routine is a general regression neural network-based freight volume forecast

能够实现RBF,GRNN和PNN神经网络的案例，一个是RBF-近红外光谱汽油辛烷值预测，GRNN，PNN-鸢尾花种类识别。代码和数据均有，直接可以拿来使用。(These are cases of RBF, GRNN and PNN neural networks can be realized. One is RBF-NIR spectroscopy gasoline octane prediction, GRNN, PNN-Iris species identification. Both c