Paper Title:
Study on the Modeling of Main Mine Ventilator Based on Artificial Intelligence
  Abstract

The parameters of main ventilator in mine such as air flow, wind speed, gas concentration and other conditions are closely related, for its complexity, it’s difficult to establish the nonlinear mathematic model, and it’s hard describe the model properties by traditional identification method. Neural network and Fuzzy system are used in mine main ventilator model identification. A Neural network based on RBF is used in neural network, and a T-S fuzzy model based on triangle membership function is used in Fuzzy identification. The simulation results show that the two methods can satisfy the needs of identification precision, convergence rate, stability and tracking ability simultaneous.

  Info
Periodical
Edited by
Han Zhao
Pages
3526-3530
DOI
10.4028/www.scientific.net/AMM.130-134.3526
Citation
X. H. Du, S. Niu, X. M. Wang, P. H. Wang, "Study on the Modeling of Main Mine Ventilator Based on Artificial Intelligence", Applied Mechanics and Materials, Vols. 130-134, pp. 3526-3530, 2012
Online since
October 2011
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$35.00
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