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...
| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
Springer Link
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/35220/1/varun1.docx |