In the data table of 600085, XZSLX synthesis is used as input and closing price as output. The former 595 data are used as training samples, and the latter 100 data are used as actual output. Through training data to build a model, the final output of 100 predicted stock closing prices. By comparing the predicted closing price with the actual closing price and calculating the error, the accuracy of the established model can be judged. RBFneural network is implemented by calling newff function.

Filename	Size	Update
600085.xlsx	239634	2019-06-13
RBF.m	1365	2019-06-13
RBF.jpg	72829	2019-06-13

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