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An Artificial Neural Network-Based Response Surface Method for Reliability Analyses of c-φ Slopes with Spatially Variable Soil 被引量:4
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作者 舒苏荀 龚文惠 《China Ocean Engineering》 SCIE EI CSCD 2016年第1期113-122,共10页
This paper presents an artificial neural network(ANN)-based response surface method that can be used to predict the failure probability of c-φslopes with spatially variable soil.In this method,the Latin hypercube s... This paper presents an artificial neural network(ANN)-based response surface method that can be used to predict the failure probability of c-φslopes with spatially variable soil.In this method,the Latin hypercube sampling technique is adopted to generate input datasets for establishing an ANN model;the random finite element method is then utilized to calculate the corresponding output datasets considering the spatial variability of soil properties;and finally,an ANN model is trained to construct the response surface of failure probability and obtain an approximate function that incorporates the relevant variables.The results of the illustrated example indicate that the proposed method provides credible and accurate estimations of failure probability.As a result,the obtained approximate function can be used as an alternative to the specific analysis process in c-φslope reliability analyses. 展开更多
关键词 slope reliability spatial variability artificial neural network Latin hypercube sampling random finite element method
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Two-phase Method without Any Artificial Variable 被引量:1
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作者 梁平 张旭利 张相斌 《Northeastern Mathematical Journal》 CSCD 2008年第5期395-398,共4页
A method is provided to achieve an initial basic feasible solution of a linear programming in this paper. This method dose not need introducing any artificial variable, but needs only solving an auxiliary linear progr... A method is provided to achieve an initial basic feasible solution of a linear programming in this paper. This method dose not need introducing any artificial variable, but needs only solving an auxiliary linear programming. Compared with the traditional two-phase method, it has advantages of saving the memories and reducing the computational efforts. 展开更多
关键词 initial basic feasible solution auxiliary linear programming two-phase method artificial variable
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A New Method for Achieving an Initial Regular Solution of a Linear Programming 被引量:3
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作者 梁平 孙艳华 +1 位作者 魏德宾 张相斌 《Northeastern Mathematical Journal》 CSCD 2008年第1期31-34,共4页
A method is provided for finding an initial regular solution of a linear programming in this paper. The key to this method is to solve an auxiliary linear programming instead of to introduce any artificial variable or... A method is provided for finding an initial regular solution of a linear programming in this paper. The key to this method is to solve an auxiliary linear programming instead of to introduce any artificial variable or constraint. Compared with the traditional method of achieving the regular solution by introducing an artificial constraint, it has advantages of saving the memories and little computational efforts. 展开更多
关键词 initial regular solution auxiliary linear programming artificial variable artificial constrain
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