Prediction of Financial Revenue in Guizhou Province Based on Improved Grey Combination Models

Hui Liu

doi:10.4028/www.scientific.net/AMM.551.705

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 551Prediction of Financial Revenue in Guizhou...

Prediction of Financial Revenue in Guizhou Province Based on Improved Grey Combination Models

Abstract:

In order to predict accurately the total government revenue in Guizhou, two improved grey models were presented and have higher forecasting accuracy than original grey model, then combined with BP neural network model and higher precision is achieved; besides, the improved grey models integrated with Markov chain were used to forecast public finance budget revenue in Guizhou and provide obviously better accuracy than grey model. Finally, the Grey-Markov models were combined and then further improve the fitting precision. The results show that the methods of grey combination models are feasible and effective in forecasting the revenue.

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Periodical:

Applied Mechanics and Materials (Volume 551)

Pages:

705-711

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.551.705

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Online since:

May 2014

Authors:

Hui Liu*

Keywords:

BP Neural Network (BPNN), Financial Revenue, Forecasting, Gray Model, Markov

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* - Corresponding Author

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