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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.

Contributor(s): Golovko, Vladimir [editor.] | Imada, Akira [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Communications in Computer and Information SciencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XII, 211 p. 135 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319082011Subject(s): Computer Science | Data mining | Artificial intelligence | Optical pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Computer Applications | Data Mining and Knowledge DiscoveryDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online 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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Forest resource management -- Artificial intelligence by neural networks -- Optimization -- Classification -- Fuzzy approach -- Machine intelligence -- Analytical approach -- Mobile robot -- Real world application.

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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