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The Research of Comprehensive Evaluation Model of Coal Mine Safety Based on Neural Network

Author: ChenWei
Tutor: LiChuanGui；ChaiJianShe
School: Capital University of Economics
Course: Safety Technology and Engineering
Keywords: Coal Mine Safety Influencing factors Index system Neural Networks BP algorithm MATLAB neural network toolbox Evaluation Model
CLC: TP183
Type: Master's thesis
Year: 2010
Downloads: 273
Quote: 5
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Abstract


The paper first analyzes the status quo of China 's coal mine safety , and discusses the need to carry out a comprehensive evaluation of coal mine safety , and then on the basis of accident causation theory , combined with the complex and diverse characteristics of the coal mine production system with fault tree analysis method , man - machine - environment the three common methods of analysis and analytic hierarchy process analysis model , build a coal mine safety indicators as tools for analysis of coal mine safety evaluation . Coal mine safety evaluation index system analysis model through the coal mine safety indicators , longitudinally divided into three levels of the target layer, middle layer , and factors layer , horizontal division of the factors is the quality of personnel , production equipment factors , the production of environmental factors and safety management factors The four aspects of a total of 34 indicators . Neural network structure , algorithm , the local minimum problems of BP neural network learning algorithm using additional momentum method improvements , improved BP neural network to establish a comprehensive evaluation model for coal mine safety , determine the model three ( 34-14-5 ) structure using neural network toolbox in MATLAB programming the computer to achieve the establishment of the neural network model for comprehensive evaluation of coal mine safety . 20 instances of domestic representative sample of neural network training using additional momentum method based on adaptive adjustment step method , the problem of slow convergence of the presence of the error function in the training process , improve , and finally through the the evaluation model subordinate of Geng Village, Changcun mine of Yima Coal Industry Group Company , the results are consistent with the actual situation shows that the model successfully established a complex nonlinear relationship between the influencing factors of coal mine safety situation has a certain practical value. With the sample library and the gradual development of the model evaluation results will be more precise, its value will be higher and higher .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
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