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Based on neural network of coal roadway surrounding rock stability study

Author: ZhangJunRong
Tutor: WuJieMing；LiDong
School: North China University of
Course: Computer technology
Keywords: Neural network
CLC: TD325
Type: Master's thesis
Year: 2011
Downloads: 26
Quote: 1
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Abstract


Affect the stability of the surrounding rock of coal roadway, there are many factors, and these factors and the stability of surrounding rock of coal roadway between present a complex nonlinear relationship. With traditional mathematical methods, such as clustering, it is difficult to fit this relationship. Artificial neural network theory for the emergence of roadway surrounding rock stability research provides a new theoretical method. Neural network is a kind of simulation of the human brain information processing method of nonlinear, parallelism system, with a very strong sense of self learning and adaptive ability. The BP neural network is a kind of multilayer feedforward network, on the outside of the input sample has the very strong recognition and classification ability, can solve the problem of nonlinear surface approach, in solving nonlinear, uncertainty, large amount of information on the issue of has a strong advantage. The realization of the neural network model requires a higher programming ability, MATLAB provides rich neural network function, convenient practical problems of modeling. This paper analyzes the influence factors of the stability of surrounding rock of coal roadway, the selection of the 11 classification factors, the BP neural network algorithm and improved algorithm using MATLAB, and constructs the visualization of the BP neural network model, the stability of surrounding rock of coal roadway on the scientific classification and prediction for scientifically, coal roadway bolting provides theoretical basis for designing.

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CLC: > Industrial Technology > Mining Engineering > Mine the pressure and support > Rock pressure and rock movement > Rock movement
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