摘要
Current design method for circular sliding slopes is not so reasonable that it often results in slope (sliding.) As a result, artificial neural network (ANN) is used to establish an artificial neural network based inverse design method for circular sliding slopes. A sample set containing 21 successful circular sliding slopes excavated in the past is used to train the network. A test sample of 3 successful circular sliding slopes excavated in the past is used to test the trained network. The test results show that the ANN based inverse design method is valid and can be applied to the design of circular sliding slopes.
Current design method for circular sliding slopes is not so reasonable that it often results in slope (sliding.) As a result, artificial neural network (ANN) is used to establish an artificial neural network based inverse design method for circular sliding slopes. A sample set containing 21 successful circular sliding slopes excavated in the past is used to train the network. A test sample of 3 successful circular sliding slopes excavated in the past is used to test the trained network. The test results show that the ANN based inverse design method is valid and can be applied to the design of circular sliding slopes.
基金
Project ( 5 0 2 740 43 )supportedbytheNationalNaturalScienceFoundationofChina
Project ( 0 1JJY10 0 4)supportedbytheNaturalScienceFoundationofHunanProvince
China
Project( 0 1A0 15 )supportedbytheNaturalScienceFoundationofHunanProvincialEdu cationC
关键词
岩石稳定性
人工神经网络系统
斜坡
设计
circular sliding slopes
artificial neural network
inverse design
