摘要
选取了"过程降雨量"与"最大地震震级"作为可靠性分析的目标因素,将其可靠度引入到传统BP神经网络预测边坡灰色聚类问题的方法中,将5个典型边坡中的3个作为预测样本对其余2个进行分析,得到了两个目标因素单独作用于边坡时边坡的可靠度以及在选取的9个因素共同作用下较精确的预测结果,可以为边坡工程提供参考。
Selecting the ＂process rainfall＂ and ＂greatest magnitude＂ as the essential decisive factors of reliability analysis,its reliability is introduced to the traditional BP neural network to forecast the Grey Cluster problems of slope and five typical cases of slope are analyzed.By analysis,the reliability of slope while the two decisive factors acted on the slope separately and the accurate forecast results which subjected to the nine selected factors can provide the reference for the engineering.
出处
《公路》
北大核心
2011年第11期6-9,共4页
Highway
基金
国家自然科学基金项目
项目编号50879097
重庆市国土资源和房屋管理局科技计划项目
关键词
边坡
滑坡
可靠性
灰色聚类问题
预测
slope
slide
reliability
grey cluster problems
forecast
