首页|Interdisciplinary Research Center for Advanced Materials Researchers Publish Fin dings in Machine Learning [Machine learning insight into inhi bition efficiency modelling based on modified graphene oxide of diaminohexane (D AH-GO) and diaminooctane ...]
Interdisciplinary Research Center for Advanced Materials Researchers Publish Fin dings in Machine Learning [Machine learning insight into inhi bition efficiency modelling based on modified graphene oxide of diaminohexane (D AH-GO) and diaminooctane ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting out of the Interdisciplinary Research Center for Advanced Materials by NewsRx editors, researchstated, “The effective prediction of corrosion inhibition efficiency (%IE) of m odified graphene oxides (GOs);diaminohexane-modified graphene oxide (DAH-GO) an d diaminooctane-modified graphene oxide (DAOGO)is vital for advanced material applications. This study employs a dual-modelling scheme to predict the% IE, for this purpose, four stand-alone machine learning (ML) models (Multivariat e Regression (MVR),Gaussian Process Regression (GPR), Adaptive Neuro-Fuzzy Infe rence System (ANFIS), and Neural Network(NN)), and five simple averaging (SA) e nsemble paradigms (MVR-SA, GPR-SA, ANFIS-SA, NN-SA, andDecision Tree-SA (DT-SA) ).”
Interdisciplinary Research Center for Ad vanced MaterialsCyborgsEmerging TechnologiesMachine Learning
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