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Artificial neural network based inverse design method for circular sliding slopes
作者姓名:丁德馨  张志军
作者单位:SchoolofArchitecturalEngineering,ResourcesandEnvironment,NanhuaUniversity,Hengyang421001,China
基金项目:湖南省教育厅自然科学基金
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.

关 键 词:岩石稳定性  人工神经网络系统  斜坡  设计
收稿时间:26 February 2003
修稿时间:21 July 2003

Artificial neural network based inverse design method for circular sliding slopes
Ding De-xin,and Zhang Zhi-jun.Artificial neural network based inverse design method for circular sliding slopes[J].Journal of Central South University of Technology,2004,11(1):89-92.
Authors:Ding De-xin  and Zhang Zhi-jun
Affiliation:(1) School of Architectural Engineering, Resources and Environment, Nanhua University, 421001 Hengyang, China
Abstract: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.
Keywords:circular sliding slopes  artificial neural network  inverse design
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