Intelligent Automation in Renewable Energy: Computational Intelligence Methods and Applications
Autor Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch IIen Limba Engleză Hardback – 19 feb 2019
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.
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Specificații
ISBN-13: 9783030022358
ISBN-10: 3030022358
Pagini: 240
Ilustrații: XII, 285 p. 232 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Computational Intelligence Methods and Applications
Locul publicării:Cham, Switzerland
ISBN-10: 3030022358
Pagini: 240
Ilustrații: XII, 285 p. 232 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Computational Intelligence Methods and Applications
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
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