Mapping the input-output relationship in HSLA steels through expert neural network

Materials Science and Engineering: A

Volumn 420, Issue 1-2, 2006, Pages 254-264

  Datta, S ^a   Banerjee, M K ^a  

^a INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY   (India)

Author keywords

Artificial neural network; Composition; HSLA steel; Process parameters; Thermomechanical controlled processing; Yield strength

Indexed keywords

COMPOSITION; NEURAL NETWORKS; STEEL METALLURGY; THERMOMECHANICAL TREATMENT; YIELD STRESS;

HSLA STEEL; PROCESS PARAMETERS; THERMOMECHANICAL CONTROLLED PROCESSING;

STEEL;

COMPOSITION; NEURAL NETWORKS; STEEL; STEEL METALLURGY; THERMOMECHANICAL TREATMENT; YIELD STRESS;

EID: 33645543943     PISSN: 09215093     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.msea.2006.01.037     Document Type: Article

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