Predictive Control and Its Applications on Underground Engineering

摘要：

In this paper, Particle swarm optimization (PSO) was improved to ovecome the shortcomings of PSO, and a modified particle swarm optimization (MPSO) was proposed in paper. The MPSO was combined with radial basis function neural network (RBF-NN) to form a MPSO-NN algorithm. A MPSO-NN prediction system was established for the deformation prediction of subway foundation pit. The results of an engineering case indicate that the intelligent prediction system is efficient in the complex underground structures.

关键词： predictive control underground engineering radial basis function hybrid algorithm

作者: Jian Guo Qimei Yang Nenghui Lin

作者单位: Wuhan Polytechnic University, Wuhan, China;Wuchang University of Technology, Wuhan, China Wuhan Polytechnic University, Wuhan, China Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 2566-2569

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）