摘要
由于煤与瓦斯突出发生的内在机理的复杂性、突出影响因素与突出事件之间的相关规律的不精确性和模糊性， 使得基于经验的传统预测方法和基于数学建模的统计预测方法的应用都受到很大限制． 而具有表达、处理不精确信息和实现信息影射变换双重特性的模糊神经网络， 通过训练能够捕捉、把握影响突出的因素与突出事件之间的特定相关规律， 从而有望实现煤与瓦斯突出的正确预测．
For reasons of the complex of coal and gas outbursts, the uncertainty or fuzziness between outbursts factors and outburst hazard, makes predicting methods both based on experiences and based on math models be helpless The characters to describe and process fuzzy proofs and the capability to map information from data make the fuzzy network be capable to catch and process the relation between outburst factors and outburst hazard objectively and really So that, it is hopeful to realize reliable prediction of coal and gas outbursts by means of fuzzy network
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
1999年第6期624-627,共4页
Journal of China Coal Society
基金
国家自然科学基金!资助项目(49772130)
