The Forecast of Mine Water Quantities in Qiupigou Mine Based on BP Algorithm

Lin Wang; Zhong Qiang Ma; Jing Hai Zhu

doi:10.4028/www.scientific.net/AMR.610-613.2435

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613The Forecast of Mine Water Quantities in Qiupigou...

The Forecast of Mine Water Quantities in Qiupigou Mine Based on BP Algorithm

Abstract:

BP algorithm was used to forecast the mine water quantity of Qiupigou coal mine as instance. The influencing factors for the mine water quantity were analyzed first. Based on the historical data, mining age, mining depth, rainfall of the year and rainfall in the last year affected the mine water quantity of Qipigou. The network model of mine water including three layers was established. Input layer includes four neurons, middle layer is six and output layer is one. The network model is trained by historical data from 1988 to 2007. The training make the network model get acquainted the realistic relationship between the influencing factors and mine water quantity. The forecast results show that the error of the network is under 8%, the minimum value of mine water quantities from 2011 to 2025 in Qiupigou mine is 704m3/h and the maximum value is 860m³/h.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

2435-2439

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.2435

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Online since:

December 2012

Authors:

Lin Wang, Zhong Qiang Ma, Jing Hai Zhu

Keywords:

BP Algorithm, Mine Water, Neural Network (NN)

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