Study on Prediction of Coal Demand by the Improved Artificial Fish-Swarm Neural Network

Chang You Wu; Shun Tang Zhang; Jing Hong Yang

doi:10.4028/www.scientific.net/AMR.805-806.1489

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806Study on Prediction of Coal Demand by the Improved...

Study on Prediction of Coal Demand by the Improved Artificial Fish-Swarm Neural Network

Abstract:

This paper first briefly discussed the basic principle of wavelet neural network, and pointed out the shortcomings and deficiencies existing in wavelet neural network , thus put forward the improved artificial fish-swarm neural network model, and solved the disadvantages of wavelet neural network in the training process. Finally the improved artificial fish-swarm neural network model is applied to the prediction of coal demand in our country, and the predicted results can prove that the model is scientific and feasible.

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Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

1489-1493

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.1489

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Online since:

September 2013

Authors:

Chang You Wu, Shun Tang Zhang, Jing Hong Yang

Keywords:

Artificial Fish-Swarm Algorithm, Coal Demand, Wavelet Neural Network (WNN)

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References

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