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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2000, Vol. 1 Issue (4): 408-413    DOI: 10.1631/jzus.2000.0408
Science & Engineering     
THE GA-ANN METHOD FOR DETERMINING CALCULATION PARAMETERS FOR DEEP EXCAVATION
XU Ri-qing
Department of Civil Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  This paper presents a new method (GA-ANN) developed by combining genetic algorithm (GA) and artificial neural networks (ANN) for determining parameters of soils and retaining walls of deep excavation. This method has the advantages of nonlinear projection of neural networks, networks reasoning, prediction and good overall characteristics. It was first used for back analysis of the problem of mechanics parameters for excavation. Case studies showed that the GA-ANN method is effective and practical for back analysis of determining parameters.

Key words： excavation      diaphragm wall      genetic algorithm      artificial neural networks     
Received: 12 December 1999     
CLC:  TU311.3  
  TU973  
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XU Ri-qing. THE GA-ANN METHOD FOR DETERMINING CALCULATION PARAMETERS FOR DEEP EXCAVATION. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2000, 1(4): 408-413.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2000.0408     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2000/V1/I4/408

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