Neural Networks and Artificial Intelligence [electronic resource] : 8th International Conference, ICNNAI 2014, Brest, Belarus, June 3-6, 2014. Proceedings / edited by Vladimir Golovko, Akira Imada.

By:

Golovko, Vladimir [editor.]

Contributor(s):

Material type: Text

TextSeries: Communications in Computer and Information Science ; 440Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XII, 211 p. 135 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319082011

Subject(s):

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

006.3 23

LOC classification:

Q334-342
TJ210.2-211.495

Online resources:

Click here to access online

Contents:

Forest resource management -- Artificial intelligence by neural networks -- Optimization -- Classification -- Fuzzy approach -- Machine intelligence -- Analytical approach -- Mobile robot -- Real world application.

In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence, ICNNAI 2014, held in Brest, Belarus, in June 2014. The 19 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in topical sections on forest resource management; artificial intelligence by neural networks; optimization; classification; fuzzy approach; machine intelligence; analytical approach; mobile robot; real world application.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-41881

This book constitutes the refereed proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence, ICNNAI 2014, held in Brest, Belarus, in June 2014. The 19 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in topical sections on forest resource management; artificial intelligence by neural networks; optimization; classification; fuzzy approach; machine intelligence; analytical approach; mobile robot; real world application.

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