Coal Demand Prediction in Shandong Province Based on Artificial Firefly Wavelet Neural Network

Jing Hong Yang; Chang You Wu; Gui Mei Zhang

doi:10.4028/www.scientific.net/AMR.962-965.1931

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Coal Demand Prediction in Shandong Province Based...

Coal Demand Prediction in Shandong Province Based on Artificial Firefly Wavelet Neural Network

Abstract:

On the basis of the existing research results, after a systematic research of the wavelet neural network model, we found that the slow convergence and easily get into local optimal solutions. To solve this problem, using artificial firefly optimization method to optimize the parameters in wavelet neural network, and Artificial Firefly Wavelet neural network model is established. Apply this model to the Shandong coal demand forecast achieve better results, proved that establishing artificial Firefly Wavelet neural network model is scientific and feasible.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

1931-1935

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.1931

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Cite this paper

Online since:

June 2014

Authors:

Jing Hong Yang, Chang You Wu*, Gui Mei Zhang

Keywords:

Artificial Firefly Algorithm, CoAl, Forecast, Wavelet Neural Network

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* - Corresponding Author

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