BP Neural Network Model Based on the K-Means Clustering to Predict the Share Price

A preprocessing procedure on dense type of data is presented using the error back propagation algorithm. In this paper, K-means are applied to BP neural network such that the data is preprocessed for the neural network. So appropriate pretreatment techniques of data could make the neural network execute more effectively to accept intensive data. Furthermore, some comparisons between the proposed algorithm and other algorithms will be provided. The BP algorithm may be applied to solve more practical nonlinear problem.