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1 Ergebnisse
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Prediction model of BOF end-point P and O contents based on..:
Liu Zhao
;
Cheng Shusen
;
Liu Pengbo
https://doi.org/10.1515/htmp-2022-0050. , 2022
Link:
https://doi.org/10.1515/htmp-2022-0050
RT Journal T1
Prediction model of BOF end-point P and O contents based on PCA–GA–BP neural network
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:48d3bb18758747ac8d61718b2d449846&Exemplar=1&LAN=DE A1 Liu Zhao A1 Cheng Shusen A1 Liu Pengbo PB De Gruyter YR 2022 K1 bof K1 prediction model K1 principal component analysis K1 bp neural network K1 genetic algorithm K1 Technology K1 T K1 Chemical technology K1 TP1-1185 K1 Chemicals: Manufacture K1 use K1 etc K1 TP200-248 JF https://doi.org/10.1515/htmp-2022-0050 LK http://dx.doi.org/https://doi.org/10.1515/htmp-2022-0050 DO https://doi.org/10.1515/htmp-2022-0050 SF ELIB - SuUB Bremen
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