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Force identification by using SVM and CPSO technique

  • Zhichao Fu*
  • , Cheng Wei
  • , Yanlong Yang
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel method is presented to determine the external dynamic forces applied on structures from measured structural responses in this paper. The method utilizes a new SVM-CPSO model that hybridized the chaos particle swarm optimization (CPSO) technique and support vector machines (SVM) to tackle the problem of force identification. Both numerical simulations and experimental study are performed to demonstrate the effectiveness, robustness and applicability of the proposed method. It is potential that the proposed method is practical to the real-life application.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings
Pages140-148
Number of pages9
EditionPART 2
DOIs
StatePublished - 2010
Event1st International Conference on Advances in Swarm Intelligence, ICSI 2010 - Beijing, China
Duration: 12 Jun 201015 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6146 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Advances in Swarm Intelligence, ICSI 2010
Country/TerritoryChina
CityBeijing
Period12/06/1015/06/10

Keywords

  • chaos
  • force identification
  • inverse problem
  • particle swarm optimization
  • support vector machine

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