De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage
Hjælp
Login
  1. Forside
  2. Bøger
  3. Business og læring
  4. Computer og IT
  5. Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

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

af Associate Professor, Wuhan, Tanta University, Wuhan University of Technology, Egypt, Huazhong University of Science and Technology, Tanta, China) Elsheikh, Ammar Hamed (Associate Professor, China) Abd Elaziz, Mohamed (Associate Professor
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications af Associate Professor
Bag om 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 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

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9780128207932
  • Indbinding:
  • Paperback
  • Sideantal:
  • 288
  • Udgivet:
  • 21. september 2022
  • Størrelse:
  • 227x153x26 mm.
  • Vægt:
  • 486 g.
  • 2-3 uger.
  • 13. december 2024
På lager

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Bag om Associate Professor

Vis alle bøger af Associate Professor

Beskrivelse af 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 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

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



Andre købte også..
Find lignende bøger
Bogen Artificial Neural Networks for Renewable Energy Systems and Real-World Applications findes i følgende kategorier: