SCOPUS 정보 검색 플랫폼

Volumn 32, Issue 5, 2005, Pages 435-442

Comparison of hot rolled steel mechanical property prediction models using linear multiple regression, non-linear multiple regression and non-linear artificial neural networks

(3) Jones, D M a,b Watton, J b Brown, K J a

a ECM2 ^* (United Kingdom)

b CARDIFF UNIVERSITY (United Kingdom)

Author keywords

Elongation to fracture; Individual and moving range; Linear multiple regression; Neural networks; Non linear multiple regression; Ultimate tensile strength; Yield strength

Indexed keywords

BLACK BOX APPROACH; COMPUTATIONAL DEVELOPMENTS; ELONGATION TO FRACTURE; HOT STRIP MILLS; INDIVIDUAL AND MOVING RANGE; LINEAR MULTIPLE REGRESSION; YIELD STRENGTHS;

MATHEMATICAL MODELS; MECHANICAL PROPERTIES; NEURAL NETWORKS; NONLINEAR SYSTEMS; REGRESSION ANALYSIS; TENSILE STRENGTH;

STEEL;

EID: 27644565110 PISSN: 03019233 EISSN: None Source Type: Journal
DOI: 10.1179/174328105X48151 Document Type: Review

Times cited : (18)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.