APPLICATION OF GENETIC ALGORITHM-SUPPORT VECTOR MACHINE (GA-SVM) FOR DAMAGE IDENTIFICATION OF BRIDGE

DOI10.1142/S1469026811003215zbMath1251.68181OpenAlexW2034781672MaRDI QIDQ4650011

Yubo Jiao, Han-Bing Liu

Publication date: 15 November 2012

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026811003215

zbMATH Keywords

GAbridgeSVMdamage identificationcomparative analyzes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function ⋮ MODEL SELECTION OF C-SUPPORT VECTOR MACHINES BASED ON MULTI-THREADING GENETIC ALGORITHM

Cites Work

• Application of SVM and ANN for intrusion detection
• ARABIC SCRIPT WEB PAGE LANGUAGE IDENTIFICATION USING HYBRID-KNN METHOD
• A NEW FAULT PATTERN RECOGNITION METHOD BASED ON WPT AND DAGSVM
• SVM MODELS FOR DIAGNOSING BALANCE PROBLEMS USING STATISTICAL FEATURES OF THE MTC SIGNAL
• Damage Detection in Structures Using Changes in Flexibility

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