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Volumn 12, Issue 2, 2005, Pages 117-121

A study of applying nested hyper-rectangle learning model to concrete strength estimation

Author keywords

[No Author keywords available]

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; COMPLEX MATERIALS; CONCRETE STRENGTH ESTIMATIONS; HYPER-RECTANGLE LEARNING MODELS; HYPERRECTANGLES; LEARNING ABILITIES; ONE-SHOT LEARNING; SEEDING TRAINING;

EID: 28244468390     PISSN: 09714588     EISSN: 09751017     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (16)
  • 2
    • 0008005721 scopus 로고
    • Bull Structural Materials Research Laboratory, Lewis Institute, Chicago
    • Abrams D, Design of Concrete Mixtures, Bull Structural Materials Research Laboratory, Lewis Institute, Chicago, 20 (1918).
    • (1918) Design of Concrete Mixtures , vol.20
    • Abrams, D.1
  • 15
    • 85037532122 scopus 로고
    • edited by J Siekmann, (Springer-Verlag Berlin Heidelberg)
    • Salzberg, S, in Lecture Notes in Artificial Intelligence, edited by J Siekmann, (Springer-Verlag Berlin Heidelberg), 1989, 184-201.
    • (1989) Lecture Notes in Artificial Intelligence , pp. 184-201
    • Salzberg, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.