Multi-step prediction control for IPSO-Elman combining-algorithm with settlement of pile-raft (box) foundation

作者：Guo Jian^*; Wang Yuanhan; Miao Yu; Xiang Ping

来源：Journal of Huazhong University of Science and Technology (Natural Science Edition), 2008, 36(6): 96-99.

• Complicated structures
• Dynamic identification
• Elman networks
• Elman neural network
• Improved particle swarm optimization
• Improved particle swarm optimization (IPSO) algorithm
• Linear prediction
• Mechanical parameters
• Multi-step
• Multi-step prediction
• New algorithm
• Pile-raft foundation settlement
• Predictive methods

Based on improved particle swarm optimization (IPSO), and the study of the nonlinear-dynamic identification of Elman neural network, a new algorithm was presented, in which IPSO algorithm was combined with the Elman network. The nonlinear implicit equations were constructed between target and prediction of the settlement of pile-raft (box) foundation. It was proved that this approach can be avoided the complicated structure relation and mechanical parameters in geotechnical engineering. Multi-step predictive method reveals a good characteristic of global optimization and a better performance in prediction. The results of the example show that the method is valuable. It is suitable for dynamic identification of nonlinear system and on-linear prediction. The precision of prediction can meet engineering need.

• 出版日期2008
• 单位华中科技大学; 武汉科技大学