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

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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications - Elsheikh, Ammar Hamed (Editor), and Abd Elaziz, Mohamed (Editor)
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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 ...

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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications 2022, Academic Press

ISBN-13: 9780128207932

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