摘要
本文应用人工神经网络原理解决水工隧洞围岩分类这一非线性和不确定性较大的实际问题,通过建立隧洞围岩的力学指标和环境因素的BP判定模型,为水工隧洞围岩分类提供可靠的途径。
The hydraulic tunnel surrounding rock classification, being a nonlinearity and uncertainty question, is resolved by artificial nerve network principle, a reliable way for hydraulic tunnel surrounding rock classification is provided by means of setting up mechanics index of hydraulic tunnel surrounding rock and BP determinant model of environment factor.
出处
《东北水利水电》
2003年第8期1-2,共2页
Water Resources & Hydropower of Northeast China
