Artificial Neural Networks for Renewable Energy Systems and Real-World Applications (Paperback)

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	September 2022
First published:	2022
Editors:	Ammar Hamed Elsheikh • Mohamed Elasyed Abd elaziz
Dimensions:	229 x 152 x 26mm (L x W x T)
Format:	Paperback
Pages:	288
ISBN-13:	978-0-12-820793-2
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-12-820793-0
Barcode:	9780128207932

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