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Intelligent Automation in Renewable Energy / by Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Baydyk, Tetyana, author.
Kussul, Ernst, author.
Wunsch II, Donald C., author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Computational intelligence methods and applications 2510-1765
Computational Intelligence Methods and Applications, 2510-1765
Language:
English
Subjects (All):
Artificial intelligence.
Computational intelligence.
Renewable energy sources.
Artificial Intelligence.
Computational Intelligence.
Renewable and Green Energy.
Local Subjects:
Artificial Intelligence.
Computational Intelligence.
Renewable and Green Energy.
Physical Description:
1 online resource (XII, 285 pages) : 232 illustrations, 101 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
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.
Contents:
Introduction to Renewable Energy
Solar Concentrators
Green Building Energy Supply
Heat Engines
Automating Solar Concentrator Manufacture
Intelligent Systems for Manufacture and Control
Examples of Neural Network Classifiers.
Other Format:
Printed edition:
ISBN:
978-3-030-02236-5
9783030022365
9783030022358
9783030022372
Access Restriction:
Restricted for use by site license.

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