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Volumn 25, Issue 4, 2002, Pages 415-424

A neural network based methodology for estimating bridge damage after major earthquakes

Author keywords

Artificial intelligence; Bridge damage prediction; Major earthquake; Neural network

Indexed keywords

ARTIFICIAL INTELLIGENCE; EARTHQUAKE RESISTANCE; EARTHQUAKES; HIGHWAY BRIDGES; MULTILAYER NEURAL NETWORKS; STATISTICAL METHODS; TRANSFER FUNCTIONS;

EID: 0036646306     PISSN: 02533839     EISSN: None     Source Type: Journal    
DOI: 10.1080/02533839.2002.9670716     Document Type: Article
Times cited : (7)

References (14)
  • 4
    • 0003000735 scopus 로고
    • Faster learning variations on error backpropagation: An empirical study
    • Carnegie-Mellon Summer Workshop on Neural Networks
    • (1988)
    • Fahlman, S.E.1    Lebiere, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.