Intelligent Automation in Renewable Energy [electronic resource] /

By:

Baydyk, Tetyana [author.]

Contributor(s):

Material type: Text

TextSeries: Computational Intelligence Methods and ApplicationsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XII, 285 p. 232 illus., 101 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030022365

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

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.

In: Springer Nature eBookSummary: 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.

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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.

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