Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms

Ironmaking and Steelmaking

Volumn 37, Issue 5, 2010, Pages 353-359

  Agarwal, A ^a   Tewary, U ^b   Pettersson, F ^c   Das, S ^b   Saxen H ^c   Chakraborti, N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b TATA STEEL LTD   (India)

^c ÅBO AKADEMI UNIVERSITY   (Finland)

Author keywords

akaike information criteria; Blast furnace; evolutionary computation; genetic algorithms; multiobjective optimisation; neural network; pareto frontier

Indexed keywords

AKAIKE INFORMATION CRITERIA; AKAIKE INFORMATION CRITERION; EVOLUTIONARY COMPUTATION; EVOLUTIONARY COMPUTATIONS; MULTIOBJECTIVE OPTIMISATION; PARETO FRONTIERS;

BLAST FURNACES; COKE FUELED FURNACES; COMPUTATION THEORY; ELECTRIC FURNACES; FURNACES; GAS BURNERS; GENETIC ALGORITHMS; GROUND VEHICLE PARTS AND EQUIPMENT; METAL REFINERIES; METALLURGICAL FURNACES; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; PRODUCTIVITY; SILICON; VEHICLE PARTS AND EQUIPMENT;

NEURAL NETWORKS;

EID: 77954699480     PISSN: 03019233     EISSN: 17432812     Source Type: Journal    
DOI: 10.1179/030192310X12683075004672     Document Type: Article

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