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Volumn 29, Issue 3, 2005, Pages 678-683

Sensor fusion of a railway bridge load test using neural networks

Author keywords

Lad test; Learning theory; Model updating; Neural networks; Railway bridge; Sensor fusion

Indexed keywords

DATA PROCESSING; FINITE ELEMENT METHOD; LEARNING SYSTEMS; MATHEMATICAL MODELS; MECHANICAL TESTING; NEURAL NETWORKS; RAILROAD BRIDGES; SENSORS; STATISTICAL METHODS; STRAIN; VIBRATIONS (MECHANICAL);

EID: 24144475495     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.04.038     Document Type: Article
Times cited : (31)

References (7)
  • 2
    • 0032188288 scopus 로고    scopus 로고
    • Application of artificial neural networks to load identification
    • X. Cao, Y. Sugiyama, and Y. Mitsui Application of artificial neural networks to load identification Computers and Structures 69 1998 63 78
    • (1998) Computers and Structures , vol.69 , pp. 63-78
    • Cao, X.1    Sugiyama, Y.2    Mitsui, Y.3
  • 4
    • 33645586352 scopus 로고    scopus 로고
    • Load testing of the Neka bridge
    • Railway faculty of engineering, Science and technology University Tehran, Iran
    • S. Mohammadzadeh Load testing of the Neka bridge Technical report 2004 Railway faculty of engineering, Science and technology University Tehran, Iran
    • (2004) Technical Report
    • Mohammadzadeh, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.