A study on on-line learning neural network for prediction for rolling force in hot-rolling mill

Journal of Materials Processing Technology

Volumn 164-165, Issue , 2005, Pages 1612-1617

  Son, Joon Sik ^a   Lee, Duk Man ^b   Kim, Ill Soo ^a   Choi, Seung Gap ^b  

^a Mokpo National University   (South Korea)

^b POSCO   (South Korea)

Author keywords

AI (artificial intelligence) technology; Hot rolling process; Neural network; On line learning; Rolling force

Indexed keywords

ARTIFICIAL INTELLIGENCE; ERROR ANALYSIS; HOT ROLLING; LEARNING SYSTEMS; NEURAL NETWORKS; ONLINE SYSTEMS; THICKNESS MEASUREMENT; E-LEARNING; MATHEMATICAL MODELS; PRODUCTIVITY; ROLLING MILLS;

AI (ARTIFICIAL INTELLIGENCE) TECHNOLOGY; HOT-ROLLING PROCESS; ON-LINE LEARNING; ROLLING FORCE;

ROLLING MILLS; HOT ROLLING;

AI (ARTIFICIAL INTELLIGENCE) TECHNOLOGY; HOT ROLLING PROCESS; INDUSTRIAL OPERATIONS; MATHEMATICAL ANALYSIS; ONLINE LEARNING; OPERATING PRACTICES; QUANTITATIVE DESCRIPTION; ROLLING FORCE;

EID: 17844399818     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2005.01.009     Document Type: Article

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