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1 Ergebnisse
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Methodology based on genetic optimisation to develop overal..:
Sanz-García, A
;
Fernández-Ceniceros, J
;
Fernández-Martínez, R
.
info:eu-repo/semantics/altIdentifier/doi/10.1179/1743281212Y.0000000094. , 2014
Link:
https://investigacion.unirioja.es/documentos/5bbc6a0cb..
RT Journal T1
Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace
UL https://suche.suub.uni-bremen.de/peid=base-ftunivriojair:oai:portal.dialnet.es:doc_5bbc6a0cb750603269e82613&Exemplar=1&LAN=DE A1 Sanz-García, A A1 Fernández-Ceniceros, J A1 Fernández-Martínez, R A1 Martínez-De-Pisón, F.J YR 2014 K1 Annealing furnace K1 Artificial intelligence K1 Genetic algorithms K1 Hot dip galvanising line K1 Overall models K1 Parsimony criterion JF info:eu-repo/semantics/altIdentifier/doi/10.1179/1743281212Y.0000000094 LK http://dx.doi.org/https://investigacion.unirioja.es/documentos/5bbc6a0cb750603269e82613 DO https://investigacion.unirioja.es/documentos/5bbc6a0cb750603269e82613 SF ELIB - SuUB Bremen
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