基于模糊模式识别的瓦斯突出预测研究

Prediction Based on Fuzzy Pattern Recognition Prominent Gas

针对矿井瓦斯突出问题,基于模糊模式识别理论,对矿井瓦斯突出灾害进行评估,实现灾害提前预测.运用模糊聚类分析方法对已知瓦斯突出样本集进行分类,建立模糊识别模式库.根据择近原则,通过计算待评估样本与已知模糊模式的接近程度,选取可比实例,完成对待评估样本的模糊模式识别,实现对待预测样本的评估与预测.此方法克服了模糊聚类分析方法的单一性,实现多指标定量化评估,提高了评估结果的准确性.通过举例分析,验证了评估方法的可靠性.

For mine gas outburst problems, fuzzy pattern recognition theory is based on the mine gas outburst disaster assess achieve disaster predicted in advance. Us- ing fuzzy clustering analysis method known sample set outburst classify fuzzy pattern recognition library. According to the principle of closeness, the closeness to be assessed by calculating the sample with a known blur mode, select comparable instances, com- plete treatment to assess sample fuzzy pattern recognition, assessment and forecasting realize treated sample. This method overcomes the unity of fuzzy clustering analysis method to achieve more quantitative indicators to assess and improve the accuracy of the evaluation results. By way of analysis, to verify the reliability of the assessment methods.