Forecast of Regional Fly Ash Production and Sales Based on BP Neural Network

Feng Dai; Ming Fu; Fu Yu Hua

doi:10.4028/www.scientific.net/AMR.1044-1045.1749

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Forecast of Regional Fly Ash Production and Sales...

Forecast of Regional Fly Ash Production and Sales Based on BP Neural Network

Abstract:

With the improvement of utilization technology of fly ash, the fly ash is gradually changing from waste to important resources. Therefore, the forecast of regional fly ash production and sales is becoming more and more important to power plant operation. This paper selects Beijing-Tianjin-Tangshan area, Zhangjiakou area, Southeastern Coastal area, Western area this four typical region of China, using the 2010-2013 quarter production and sales data of fly ash as the original data sequence in the four region to build a BP neural network model for network for 2014-2015 prediction analysis. From the prediction results we can conclude that prediction accuracy conforms to the required standard, indicating that the prediction model is valid.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1749-1752

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1749

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Online since:

October 2014

Authors:

Feng Dai*, Ming Fu, Fu Yu Hua

Keywords:

BP Neural Network (BPNN), Fly Ash (FA), Prediction of Production and Sales

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