Artificial Neural Networks for Renewable Energy Systems and Manufacturing Applications

Artificial Neural Networks for Renewable Energy Systems and Manufacturing 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 applicationsFeatures computer aided simulations, presented as algorithms, pseudocodes, and flowchartsCovers ANN theory for easy reference in subsequent technology specific sections INDICE: Part I: ANN fundamentals 1. Introduction 2. Basic Principles of ANNs 3. Types of ANNs Part II: Applications of ANNs in Renewable Energy Systems 4. Applications of ANN in Solar Collectors 5. Applications of ANN in Solar Water Desalination 6. Modeling of Solar Cells Using of ANN 7. Applications of ANN in Wind Energy 8. Applications of ANN in Biofuel Part III: Applications of ANNs in Manufacturing Processes 9. Applications of ANN in Machining 10. Applications of ANN in Metal forming 11. Applications of ANN in Welding 12. Applications of ANN in Industrial Robots

• ISBN: 978-0-12-820793-2
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/03/2021
• Nº Volúmenes: 1
• Idioma: Inglés