中南大学学报（自然科学版）2013，Vol.44Issue(7)：2977-2981,5.
基于人工神经网络及非线性回归的岩爆判据
Rockburst criterion based on artificial neural networks and nonlinear regression
摘要
Abstract
Rockburst criterion was studied based on artificial neural networks and nonlinear regression,Firstly the original sample was quantified by artificial neural networks,and then the nonlinear regression method was used to analyze the quantitative sample data.Finally,the new rockburst criterion was obtained.The results show that the new rockbust criterion has a higher predictive precision.关键词
岩爆判据/人工神经网络/岩爆强度衡量值/非线性回归Key words
rockburst criterion/ artificial neural networks/ measurable value of rockburst/ nonlinear regression分类
矿业与冶金引用本文复制引用
张光存,高谦,杜聚强,李铿铿..基于人工神经网络及非线性回归的岩爆判据[J].中南大学学报（自然科学版）,2013,44(7):2977-2981,5.基金项目
国家高技术研究发展计划("863"计划)项目(2008AA062104) （"863"计划）
国家重点基础研究发展计划("973"计划)项目(2010CB731501) （"973"计划）
"十一五"国家科技支撑计划项目(2008BAB32B01) （2008BAB32B01）
河北省钢铁产业技术升级专项资金资助项目(SJGS-KJ-12-03) （SJGS-KJ-12-03）
