Foundation Settlement Forecasting Using the New BP-Gompertz Model

摘要：

In view of each advantages of Gompertz and BP neural network, the Gompertz growth curve model was combined with BP neural network. The BP-Gompertz foundation forecasting model was proposed through using the capability of approximating the true value of BP neural network to optimize the curve fitting capability of Gompertz. An example shows that compared with the traditional Gompertz model, the prediction accuracy of the new BP-Gompertz model is significantly improved. The model provides a new method for the foundation settlement prediction.

关键词： foundation settlement Gompertz growth curve model BP neural network BP-Gompertz model

作者: Haonan Liang Feihu Qin Jiehao Wang Tian Zhang Yan Liang

作者单位: School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou,China School of Science China University of Mining and Technology Xuzhou,China School of Information and Electrical Engineering China University of Mining and Technology Xuzhou,Ch

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 125-128

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）