中文说明：
本案例是采用GRNN（径向基）神经网络预测水资源量，GRNN神经网络适合于小样本、高精度预测，本实例附有数据（不全），下载者可以直接将数据更改为自己的数据便可以使用。程序中使用了交叉验证方法，使预测精度大大提高。
English Description：
In this case, GRNN (radial basis function) neural network is used to predict the amount of water resources. GRNN neural network is suitable for small sample and high-precision prediction. This example is attached with data (incomplete). The downloader can directly change the data into his own data to use it. The cross validation method is used in the program, which greatly improves the prediction accuracy.