Open AccessImpulse Ground Pressure Prediction Based on Rough Set- Distance Discriminant Model
Author(s) -
Ping Jian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1995/1/012012
Subject(s) - linear discriminant analysis , discriminant , optimal discriminant analysis , mathematics , pattern recognition (psychology) , multiple discriminant analysis , rough set , artificial intelligence , statistics , impulse (physics) , discriminator , data mining , computer science , telecommunications , physics , quantum mechanics , detector
In this paper, introduce the rough set theory, and the weight coefficient is calculated by analyzing the support degree and attribute importance of the evaluation object. Combine with the distance discriminant model, successfully construct the weighted distance discriminant model of rock burst, and determine the reasonable discriminant factors. Taking 15groups of data from Yantai Coal Mine as training samples, and establish the rough set distance discriminant model for rock burst prediction. The discriminant results of this model were compared with those obtained by Fisher analysis discriminant model (FDA), R-type factor Fisher discriminator method, etc. Through the comparison of the judgment results, prove the effectiveness of the through-distinction model in the field of mine water source discrimination. The results show that the through set distance discrimination model has the advantages of high prediction jurisdiction and strong rationality, and it is a new way suitable for mine water source discrimination.