Study on the Prediction of Shanghai Composite Index Based on a Fusion Model of RBF Neural Network, Markov Chain and GA

Wei Hua Zhu; Jing Yang

doi:10.4028/www.scientific.net/AMR.1049-1050.1413

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Study on the Prediction of Shanghai Composite...

Study on the Prediction of Shanghai Composite Index Based on a Fusion Model of RBF Neural Network, Markov Chain and GA

Abstract:

From numerous approaches studying the prediction of stock price, this paper proposed a new approach which was the combination of RBF neural network and Markov chain to forecast the stock closing price of the Shanghai composite index. Markov chain was aimed at making the error between the actual price and predicted price obtained by RBF neural network correct. Besides, for higher prediction accuracy, genetic algorithm was used to optimize the state division of Markov chain. The experimental result confirmed its effectiveness and superiority in comparison with the other two methods in some time interval.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1413-1416

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1413

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Online since:

October 2014

Authors:

Wei Hua Zhu, Jing Yang

Keywords:

Genetic Algorithm (GA), Markov Chain, RBF Neural Network, Shanghai Composite Index Prediction

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References

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