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Volumn , Issue , 2006, Pages

An intelligent neural system for predicting structural response subject to earthquakes

Author keywords

Approximation; Earthquake; Intelligent neural system; Neural networks; Time history analysis

Indexed keywords

APPROXIMATION; APPROXIMATION TECHNIQUES; COMPETITIVE NEURAL NETWORK; COMPLEX FORMS; COMPUTATIONAL BURDEN; COMPUTATIONAL EFFORT; INPUT SPACE; LARGE SCALE STRUCTURES; NEURAL SYSTEMS; RADIAL BASIS FUNCTIONS; STRUCTURAL OPTIMISATION; STRUCTURAL RESPONSE; TARGET SPACE; TIME HISTORY; TIME HISTORY ANALYSIS; TIME-CONSUMING PROCEDURE; TIME-HISTORY DYNAMIC ANALYSIS;

EID: 84858661716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (12)
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  • 8
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    • (2005) Advances in Engineering Software , vol.36 , Issue.11-12 , pp. 757-767
    • Salajegheh, E.1    Gholizadeh, S.2
  • 9
    • 4944239007 scopus 로고    scopus 로고
    • RBF neural networks for the prediction of building interference effects
    • A. Zhang, L. Zhang, "RBF Neural Networks for the Prediction of Building Interference Effects", Computers & Structures, 82, 2333-2339, 2004.
    • (2004) Computers & Structures , vol.82 , pp. 2333-2339
    • Zhang, A.1    Zhang, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.