Research on the Prediction of Stock Market Based on BP Neural Network
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Yaze Yuan, Mengmeng Su
The stock market is a highly complex nonlinear dynamic system, and its fluctuation rule is affected by many factors. The index prediction of the stock market is a concern of economic managers. This paper first analyzes the concept and characteristics of BP neural network, and then proposes a prediction model of Shanghai composite index based on BP neural network. The result shows that this scheme has higher accuracy, which can provide some references for the investors to guard against the financial risks.
Prediction technology, Stock market, BP neural network.