Artificial Neural Networks for Renewable Energy Systems and Real World Applications

This book PDF is perfect for those who love Technology & Engineering genre, written by Ammar Hamed Elsheikh and published by Academic Press which was released on 08 September 2022 with total hardcover pages 290. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Artificial Neural Networks for Renewable Energy Systems and Real World Applications books below.

Artificial Neural Networks for Renewable Energy Systems and Real World Applications
Author : Ammar Hamed Elsheikh
File Size : 41,6 Mb
Publisher : Academic Press
Language : English
Release Date : 08 September 2022
ISBN : 9780128231869
Pages : 290 pages
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Artificial Neural Networks for Renewable Energy Systems and Real World Applications by Ammar Hamed Elsheikh Book PDF Summary

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. Includes illustrative examples on the design and development of ANNS for renewable and manufacturing applications Features computer-aided simulations presented as algorithms, pseudocodes and flowcharts Covers ANN theory for easy reference in subsequent technology specific sections

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 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

Get Book
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