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Volumn 91, Issue 3, 2003, Pages 423-441

Prediction of pressure coefficients on roofs of low buildings using artificial neural networks

Author keywords

Aerodynamic database; Artificial neural networks; Interpolation; Low buildings; Prediction; Wind induced pressures

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; ERROR ANALYSIS; PRESSURE EFFECTS; WIND EFFECTS;

EID: 0037294411     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6105(02)00381-1     Document Type: Article
Times cited : (83)

References (19)
  • 14
    • 0347612591 scopus 로고
    • Strong winds in the atmospheric boundary layer, Part 1: Mean-hourly wind speeds
    • Engineering Science Data Unit, London
    • (1984) ESDU 82026 with Amendment A and B
  • 15
    • 0346351765 scopus 로고
    • Strong winds in the atmospheric boundary layer, Part 2: Discrete gust speeds
    • Engineering Science Data Unit, London
    • (1984) ESDU 83045 with Amendment A
  • 16
    • 0348242488 scopus 로고
    • Characteristics of atmospheric turbulence near the ground, Part II: Single point data for strong winds (neutral atmosphere)
    • Engineering Science Data Unit, London
    • (1975) ESDU 74031 with Amendment A
  • 19
    • 0346981642 scopus 로고
    • Neural Network Toolbox for use with Matlab, The Math Works Inc.
    • (1994)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.