Settlement Prediction of Soft Clay Roadbed Based on Adaptive Neuro-Fuzzy Inference System Modeloft-com:office:office" />
详细信息
- 责任者：Xiao Zhiyu (Institute of Geotechnical Engineering ; Hunan University ; Changsha 410082 ; China) ; Chen Changfu
- 刊名：Hydrogeology and Engineering Geology
- 出版年：2010
- 卷期：37(6)
- 关键词：地基沉降 ; foundation settlement
- 页码：p.61-65
- 图表：3 illus., 2 tables, 12 refs.
- 分类号：1702
- issnNo：ISSN1000-3665
- isbnNo：CN11-2202/P
摘要
To compensate the defect of the growth model and the Artificial Neural Network model,which are the most commonly used method to settlement prediction of soft clay roadbed, this paper proposes the application of the adaptive neuro-fuzzy inference system (ANFIS) to soft clay roadbed settlement prediction. In the ANFIS the fuzzy reasoning process of the expert inherent is put in the neural network structure. The neural network nodes and the weights have a clear physical meaning,and the "black box" through the working process of Neural Network is avoided. The result show that the ANFIS model is of great theoretic significance and has practical value in preventing roadbed sink and guaranteeing the road behavior in practice.