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

Name: Artificial Neural Networks for Renewable Energy Systems and Real-World Applications
Brand: Academic Press
Price: 110.57 GBP
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AI & Machine Learning

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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. Review Introduces the fundamentals of artificial intelligence and its applications in modeling, analysis and optimization of different energy systems and manufacturing processes From the Back Cover Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. 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 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 system and manufacturing process analysis. About the Author 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. 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.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128207930
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 21 September 2022
Listed Since: 30 October 2019

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

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