This case is the use of GRNN (Radial Basis Function) neural network to predict the amount of water, GRNN neural networks suitable for small samples, high-precision prediction, the present example with data (incomplete), can directly download data to their own data will change can use. Procedures used in the cross-validation method, the prediction accuracy is improved greatly

GRNN\GRNN.m
....\GRNN.xlsx
GRNN

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