Robotics & Machine Learning Daily News2024,Issue(Sep.5) :95-95.

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 ...]

Robotics & Machine Learning Daily News2024,Issue(Sep.5) :95-95.

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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Abstract

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) ).”

Key words

Interdisciplinary Research Center for Ad vanced Materials/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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