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Neural Network Based on Ant Colony Clustering Algorithm Applied to Predict the Stability of the Roof in Coal Mining
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.202Sixth International Conference on Int ...
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Xiaoyue Liu, China University of Mining & Technology, China; Hebei Polytechnic University, China
Jiping Sun, China University of Mining & Technology, China
Sumin Feng, Hebei Polytechnic University, China
The colliery roof collapse accident is one of the mine disasters .The influence factors have the characteristic of variety, non-linear, incertitude, etc., which make traditional neural prediction have to process a large amount of convoluted data. This paper gets cluster center and subjection degree through combine ant colony with fuzzy C mean value clustering algorithm, establishes the dynamic system distinguish mode that suits for non-linear form with recurrent fuzzy neural network, it obviously reduces the calculation complexity of the algorithm.
Citation:
Xiaoyue Liu, Jiping Sun, Sumin Feng, "Neural Network Based on Ant Colony Clustering Algorithm Applied to Predict the Stability of the Roof in Coal Mining," isda, vol. 1, pp.396-399, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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