Structural damage detection based on posteriori probability support vector machine and Dempster–Shafer evidence theory-Reference-Cited by-同舟云学术

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Structural damage detection based on posteriori probability support vector machine and Dempster–Shafer evidence theory

Published:2015-11 Issue: Volume:36 Page:368-374
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhou Qifeng,Zhou Hao,Zhou Qingqing,Yang Fan,Luo Linkai,Li Tao

Funder

Jiangsu Key Laboratory of Image and Video Understanding for Social Safety

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference22 articles.

1. Damage detection and damage detectability-analysis and experiments;Juneja;J. Aero Space Eng.-ASCE,1997

2. Use of neural networks in detection of structural damage;Wu;Comput. Struct.,1992

3. A novel information-gap technique to assess reliability of neural network-based damage detection;Pierce;J. Sound Vib.,2006

4. Damage detection with parallel genetic algorithms and operational modes;Meruane;Struct. Health Monit.,2010

5. Structural damage evaluation using genetic algorithm;Na;J. Sound Vib.,2011

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