A supervised learning neural network approach for the prediction of supercapacitive energy storage materials

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A supervised learning neural network approach for the prediction of supercapacitive energy storage materials

Material researchers are progressively embracing the utilization of machine learning techniques to find hidden patterns in data and make predictions without explicit human development. Thousands of papers have been published in the use of carbon for supercapacitor applications. The manufacturing con...

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Bibliographic Details
Main Authors:	Varun, Geetha Mohan, Mohamed Ariff, Ameedeen, Saiful, Azad
Format:	Book Chapter
Language:	English
Published:	Springer Link 2022
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/35220/ http://umpir.ump.edu.my/id/eprint/35220/1/varun1.docx

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