WU Chao-yang, LI Ning. Application of AGO-BP Neural Network to the Tangent Calculation Method of the Main Influencing Angle[J]. Safety in Coal Mines, 2012, 43(3): 117-120.
    Citation: WU Chao-yang, LI Ning. Application of AGO-BP Neural Network to the Tangent Calculation Method of the Main Influencing Angle[J]. Safety in Coal Mines, 2012, 43(3): 117-120.

    Application of AGO-BP Neural Network to the Tangent Calculation Method of the Main Influencing Angle

    • The tangent of the main influencing angle tanβ is one of the most important parameter for mining subsidence prediction with the probability integral method and it determines the range of surface subsidence.Based on analyzing the geologic and mining factors which affect the tangent of the main influencing angle,the paper constructed an AGO-BP neutral network model.This model preprocessed the selected original data on the basis of grey theory,and then calculated the tangent of the main influencing angle with BP neural network mode1.The AGO-BP neural network model not only can adjust the network parameters automatically,but also can avoid the instability problem compared with only using BP neural network model.The tangent of the main influencing angle prediction is more accuracy with the AGO-BP neural network model.
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