可靠性分析在边坡灰色聚类问题中的应用
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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2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。
The process rainfall and the greatest magnitude were selected as the essential decisive factors of reliability analysis.The reliabilities of these two factors were introduced to the traditional BP neural network to forecast the grey cluster problems of slope.Two typical samples of the five typical slope,were analyzed while the other three were selected as prediction samples.By analysis,the reliability of slope when the two decisive factors acted on the slope separately and the accurate forecast results which are subjected to the nine selected factors can be provided as references for the slope engineering.
引文
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