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Published in:
2010 | OriginalPaper | Chapter
Time Serial Model of Rock Burst Based on Evolutionary Neural Network
Author : Wei Gao
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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Rock burst is a mining disaster, which can bring large harm. The theory studies have showed that, rock burst is a kind of dynamic phenomenon of mining rock, and is a kind of dynamic disaster from mining. Considering the dynamic character of rock burst, the construction time serial model of rock burst is studied by evolutionary neural network based on immunized evolutionary programming. At last, the proposed model is tested by a real magnitude series of a mine. The result has showed that, evolutionary neural network model not only has high approaching precision, but also has high predicting precision, and is a good method to construct the non-linear model of rock burst.