Overview
- Interesting for researchers in computational intelligence, in particular in the domain of neural networks
- Interesting for engineers engaged with renewable energy technologies
- Authors present new applications for their neural classifiers for image and pattern recognition
Part of the book series: Computational Intelligence Methods and Applications (CIMA)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition.
The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Automation in Renewable Energy
Authors: Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
Series Title: Computational Intelligence Methods and Applications
DOI: https://doi.org/10.1007/978-3-030-02236-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02235-8Published: 19 February 2019
eBook ISBN: 978-3-030-02236-5Published: 05 February 2019
Series ISSN: 2510-1765
Series E-ISSN: 2510-1773
Edition Number: 1
Number of Pages: XII, 285
Number of Illustrations: 131 b/w illustrations, 101 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Renewable and Green Energy