Prediction for the change of stock market has been a hot research subject over the years. This thesis has introduced the definition and arithmetic of BP neural network model and established a stock market index prediction model based on the BP neural network model by taking advantage of the self-learning, self-adapting and nonlinear approximate ability. It is shown through empirical research that BP model not only has a rapid velocity of convergence and a high precision of prediction, but also has a certain application value if it is used for the short-term prediction of stock market index. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Fang, B., & Ma, S. (2009). Application of BP neural network in stock market prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5553 LNCS, pp. 1082–1088). https://doi.org/10.1007/978-3-642-01513-7_119
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