Artificial Neural Networks for Renewable Energy Systems and Real World Applications
  • Release Date : 01 June 2021
  • Publisher : Academic Press
  • Categories : Technology & Engineering
  • Pages : 500 pages
  • ISBN 13 : 9780128231869
  • ISBN 10 : 0128231866
Score: 4
From 245 Ratings
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Synopsis : Artificial Neural Networks for Renewable Energy Systems and Real World Applications written by Ammar Hamed Elsheikh, published by Academic Press which was released on 01 June 2021. Download Artificial Neural Networks for Renewable Energy Systems and Real World Applications Books now! Available in PDF, EPUB, Mobi Format. 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. Includes illustrative examples of 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