Back analysis of intelligent displacement based on particle swarm optimization
ZHAO Hongbo 1 2
1.Department of Civil Engineering Shaoxing University Shaoxing 312000 China 2.Institute of Rock and Soil Mechanics Chinese Academy of Science Wuhan 430071 China
Abstract：Optimization technique was an important factor to displacement back analysis,it influenced the precision and efficiency.A new intelligent displacement back analysis which combined particle swarm optimization with support vector machine was proposed.The approach not only used the excellent characteristics of support vector machine which presented nonlinear relationship and avoided the complex computation,but also used the global optimization performance of particle swarm optimization with quick convergence.The approach was applied to a example,and compared with other approaches.It was shown that this approaches was an excellent algorithm which was scientific and feasible with good convergence.
赵洪波；. 基于微粒群优化的智能位移反分析研究[J]. 岩土工程学报, 2006, 28(11): 2035-2038.
ZHAO Hongbo 1 2. Back analysis of intelligent displacement based on particle swarm optimization. Chinese J. Geot. Eng., 2006, 28(11): 2035-2038.
