Predicting CaO activity in multiple slag system using improved whale optimization algorithm and categorical boosting

The activity of slag components is one of the primary factors influencing the thermodynamic properties of slag. In this study, a feasible model was established to predict the a (CaO) using improved whale optimization algorithm (IWOA) and Categorical Boosting (CatBoost). The effects of other variable...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 9533 - 11
Hauptverfasser:	Xin, Zi-cheng, Zhang, Jiang-shan, Liu, Qing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 19.03.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 639/705 a(CaO) Algorithms Aluminum oxide Categorical boosting FactSage Humanities and Social Sciences Improved whale optimization algorithm Ion and molecule coexistence theory Molecules multidisciplinary Multiple slag system Neural networks Optimization algorithms Prediction models Science Science (multidisciplinary) Silicon dioxide Slag CaO FactSage Improved whale optimization algorithm Categorical boosting Multiple slag system Ion and molecule coexistence theory a(CaO)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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