煤田地质与勘探2016，Vol.44Issue(2)：14-18,5.DOI:10.3969/j.issn.1001-1986.2016.02.003
基于SAGA-FCM的煤与瓦斯突出预测方法
Prediction method of coal and gas outburst based on SAGA-FCM
摘要
Abstract
In order to improve the accuracy of Fuzzy C-Means Clustering Algorithm (FCM) in prediction of coal and gas outburst, a method was putted forward. The method uses fuzzy C-means clustering that combines simulated annealing algorithm (SA) and genetic algorithm (GA) to predict coal and gas outburst. The method combines global search, high-precision advantages of simulated annealing algorithm and powerful search ability of space of genetic algorithm. Initial value optimized by the genetic simulated annealing algorithm is assigned to FCM. It avoids FCM algorithm convergence to local minima when the initial cluster center value is not properly selected in combination with the analysis of typical outburst mine data, the results indicate that FCM optimized by the genetic simulated annealing algorithm is more accurate than the single FCM algorithm in prediction of coal and gas outburst.关键词
模糊C-均值聚类算法/遗传算法/模拟退火算法/煤与瓦斯突出Key words
fuzzy C- means clustering algorithm/genetic algorithm/simulated annealing algorithm/coal and gas outburst分类
天文与地球科学引用本文复制引用
李心杰,贾进章,李兵..基于SAGA-FCM的煤与瓦斯突出预测方法[J].煤田地质与勘探,2016,44(2):14-18,5.基金项目
国家自然科学基金项目(51374121)；辽宁省高等学校杰出青年学者成长计划基金项目(LJQ2011028)@@@@National Natural Science Foundation of China(51374121)；University Excellent Younth Scholars Growth Plan Project of Liaoning Province(LJQ2011028) （51374121）
