基于人工神经网络及非线性回归的岩爆判据

摘要

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.%采用人工神经网络和非线性回归方法研究岩爆判据研究.首先利用人工神经网络对原始样本进行量化,然后对量化后的样本数据进行非线性回归分析,获得新的岩爆判据公式.研究结果表明:此岩爆判据公式具有较高的预测精度.