Forecasting the productivity of a solar distiller enhanced with an inclined absorber plate using stochastic gradient descent in artificial neural networks

Solar distillers are of significant importance in advanced technologies, as they provide a sustainable approach to address the issue of water purification. The utilization of innovative methodologies holds considerable significance in improving solar distiller performance. For that, this study imple...

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Bibliographic Details

Published in:	Multiscale and Multidisciplinary Modeling, Experiments and Design Vol. 7; no. 3; pp. 1819 - 1829
Main Authors:	Mohammed, Suha A., Al-Haddad, Luttfi A., Alawee, Wissam H., Dhahad, Hayder A., Jaber, Alaa Abdulhady, Al-Haddad, Sinan A.
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.07.2024
Subjects:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Solar distillers Neural network Stochastic gradient descent Prediction Machine learning
ISSN:	2520-8160, 2520-8179
Online Access:	Get full text
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