Paper Title:
Prediction of Water Inrush from Coal Floor Based on Fisher Discriminant Analysis
  Abstract

Based on the theory of Fisher discriminant analysis, this paper aims to develop the Fisher discriminant function model by using the representative water inrush data from the floor of coal mining face, considering comprehensively the factors that affect the water inrush from coal floor. The predicted result is consistent with the actual situation, which corresponds with or better than that of the least squares support vector machine, artificial neural network, and so on. The results indicate that this model is a new effective way of predicting the water inrush from floor and can be widely used in the practical engineering because of the low resubstitution error rate and good distinguishing performance.

  Info
Periodical
Chapter
Chapter 7: Frontiers of Computer Applicated in Building
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4211-4214
DOI
10.4028/www.scientific.net/AMM.71-78.4211
Citation
P. H. Huang, J. S. Chen, "Prediction of Water Inrush from Coal Floor Based on Fisher Discriminant Analysis", Applied Mechanics and Materials, Vols. 71-78, pp. 4211-4214, 2011
Online since
July 2011
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Price
$32.00
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