Artificial Neural Networks for Renewable Energy Systems and Real-World Applications by Elsheikh, Ammar Hamed
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications by Elsheikh, Ammar Hamed

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

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of...
$622.88 AUD
$622.88 AUD
SKU: 9780128207932
Product Type: Books
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Author: Ammar Hamed Elsheikh
Format: Paperback
Language: English
Subtotal: $622.88
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications by Elsheikh, Ammar Hamed

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

$622.88
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications by Elsheikh, Ammar Hamed

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

$622.88
Author: Ammar Hamed Elsheikh
Format: Paperback
Language: English
Description

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.



Author: Ammar Hamed Elsheikh
Publisher: Academic Press
Published: 09/21/2022
Pages: 290
Binding Type: Paperback
Weight: 0.86lbs
Size: 9.00h x 6.00w x 0.61d
ISBN: 9780128207932

About the Author
Elsheikh, Ammar Hamed: - Ammar Elsheikh received B.S. and M.S. degrees in mechanical engineering from Tanta University, Tanta, Egypt and Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China. He is currently working as an associative professor in both universities. His research interests include renewable energy, manufacturing systems, and the applications of ANN and metaheuristic techniques in engineering problems.Abd Elaziz, Mohamed: - Mohamed Abd Elaziz received B.S., M.S., and PhD degrees in Computer science from the Zagazig University, Zagazig, Eypt. He is currently working as an associative professor in Wuhan University of Technology, Wuhan, China. He is the author of more than 50 articles. His research interests include machine learning, signal processing, image processing, and metaheuristic techniques.

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