Research on Forecasting of Airflow Temperature in Heading Face Based on the GA-BP Neural Network

Abstract:

In order to solve the problem of forecasting airflow temperature in heading face, a new model of forecasting airflow temperature in heading face with Matlab programming is built on the BP neural network model, making use of genetic algorithms to optimize the initial weights and thresholds of the network. According to the analysis of test carried out in a coal mine in Huainan, the results show that the model of fast convergence and high prediction accuracy is one of the most effective ways of forecasting airflow temperature in heading face.

• Periodical: Advanced Materials Research (Volumes 524-527)
• Pages: 668-672
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.524-527.668
• Online since: May 2012
• Authors: Xiang Zhang, Bai Shun Wang, Shuo Xu
• Keywords: Airflow Temperature, BP Neural Network (BPNN), Genetic Algorithm (GA), Heading Face

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