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Volumn 18, Issue 1, 2008, Pages 10-15

The use of artificial neural networks in adiabatic curves modeling

Author keywords

Adiabatic hydration curves; Artificial neural network; Experiments; Fresh concrete

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CONCRETE CONSTRUCTION; CONCRETE MIXERS; CONCRETES; DATA STRUCTURES; FINITE DIFFERENCE METHOD; FINITE ELEMENT METHOD; HYDRATION; MIXTURES; MODEL STRUCTURES; NUMERICAL ANALYSIS; NUMERICAL METHODS; STRUCTURAL DESIGN;

EID: 49549087092     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2008.04.001     Document Type: Article
Times cited : (17)

References (17)
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    • Prediction of concrete strength using artificial neural networks
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    • Application of artificial neural networks to determine concrete compressive strength based on non-destructive tests
    • Hola J., and Schabowicz K. Application of artificial neural networks to determine concrete compressive strength based on non-destructive tests. Journal of Civil Engineering and Management, 11 1 (2005) 23-32
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    • Hola, J.1    Schabowicz, K.2
  • 13
    • 33644678621 scopus 로고    scopus 로고
    • Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks
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  • 14
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    • Hola, J.1    Schabowicz, K.2
  • 15
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.