Application of Sliding Window-Genetic Programming Algorithm in Alert and Forecast for Mine Safety Monitoring

Ru Hong Ma; Xiao Hui Dong; Jian Lin Wang

doi:10.4028/www.scientific.net/AMR.605-607.855

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Application of Sliding Window-Genetic Programming...

Application of Sliding Window-Genetic Programming Algorithm in Alert and Forecast for Mine Safety Monitoring

Abstract:

SW-GP (Sliding Window-Genetic Programming) algorithm is provided to implement dynamic forecast of monitoring data in order to more effectively utilize coal mine monitoring data to alert and forecast safety accident. In the program, sampling data is obtained by sliding window technology and model is founded automatically by GP algorithm. The result of instance shows that forecasting values from the model well agree with the real values, which explains that employing SW-GP modeling can settle problem for alert and forecast for mine safety monitoring data satisfactorily.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

855-858

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.855

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Cite this paper

Online since:

December 2012

Authors:

Ru Hong Ma, Xiao Hui Dong, Jian Lin Wang

Keywords:

Alert and Forecast, Coal Mine Safe, Genetic Programming, Sliding Window

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