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.
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