G(1,1,λ,ρ) Optimization Model and Application Based on the FS

Han Lin Wang; Zi Hui Ren; Li Xia Xue; Yan Li Luo

doi:10.4028/www.scientific.net/AMM.644-650.1494

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650G(1,1,λ,ρ) Optimization Model and Application...

G(1,1,λ,ρ) Optimization Model and Application Based on the FS

Abstract:

A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1494-1497

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1494

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Online since:

September 2014

Authors:

Han Lin Wang*, Zi Hui Ren, Li Xia Xue, Yan Li Luo

Keywords:

Convergence, Free Searching (FS), Grey Prediction Model GM(1‚1), Optimization, Precision

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