Prediction of mechanical properties of hot rolled, low-carbon steel strips using artificial neural network

Materials and Manufacturing Processes

Volumn 20, Issue 5, 2005, Pages 793-812

  Mukhopadhyay, Ananya ^a   Iqbal, Asif ^b  

^a TATA STEEL LTD   (India)

^b Pioneer Computers P Ltd   (India)

Author keywords

Artificial intelligence (AI); Artificial neural network (ANN); Back propagation (BP); Conjugate gradient (CG) descent; Hot rolled strips coils; Hot rolling; Hot strip mill (HSM); Mechanical property; Prediction; Soft computing; STATISTICA; Steel

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTER SIMULATION; HOT ROLLING; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; NEURAL NETWORKS; STRIP MILLS; TENSILE STRENGTH; TOPOLOGY; YIELD STRESS;

CONJUGATE GRADIENT (CG) DESCENT; HOT ROLLED STRIPS/COILS; HOT STRIP MILLS (HSM); PREDICTION; SOFT COMPUTING; STATISTICA;

CARBON STEEL;

EID: 25444478318     PISSN: 10426914     EISSN: None     Source Type: Journal    
DOI: 10.1081/AMP-200055140     Document Type: Article

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