The GA-ANN method for determining calculation parameters for deep excavation

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, pred...

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Bibliographic Details
Published in:Journal of Zhejiang University. A. Science 2000-10, Vol.1 (4), p.408-413
Main Author: Xu, Ri-qing
Format: Article
Language:English
Subjects:
Artificial neural networks
Excavation
Genetic algorithms
Neural networks
Parameters
Retaining walls
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Summary: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.
ISSN:1673-565X
1862-1775
DOI:10.1631/jzus.2000.0408