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The Research Of New Methods To Compute Coefficient Of Mine Roadway's Frictional Resistance

Posted on:2005-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:P ZhangFull Text:PDF
GTID:2121360122472220Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
The standard value of ventilation resistance and coefficient of frictional resistance is very significant to the ventilation management of the mine as the basic data. It is introduced that confirming coefficient of frictional resistance by the immediate causes avoids heavy work of measurement, and summing up the computing formula of mathematics to those different roadways of bracket. In addition, applying an improved BP artificial neural network on pattern recognition calculates the coefficient value of frictional resistance. We can select rationally relevant parameters as input value of these models, and apply the Bayesian Regularization to them. The main advantages of them include simple structure, efficient convergence, precise forecasting, etc. The validity of their mathematical models is tested by their actual measure and application, and the mathematical models provide the theoretical foundation for their application in engineering practice.
Keywords/Search Tags:coefficient of frictional resistance, pattern recognition, neural network
PDF Full Text Request
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