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Engineering Applications of Neural Networks
(Englisch)
17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings
Jayne, Chrisina & Iliadis, Lazaros

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Engineering Applications of Neural Networks

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  • Springer Basel AG
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  • 123717051

Produktbeschreibung

This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.

The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.


Active learning and dynamic environments.- Semi-supervised modeling.- Classification applications.- Clustering applications.- Cyber-physical systems and Cloud applications.- Time-series prediction.- Learning-algorithms.- Short papers.- Tutorials.

Active learning and dynamic environments.- Semi-supervised modeling.- Classification applications.- Clustering applications.- Cyber-physical systems and Cloud applications.- Time-series prediction.- Learning-algorithms.- Short papers.- Tutorials.

Inhaltsverzeichnis



Active learning and dynamic environments.- Semi-supervised modeling.- Classification applications.- Clustering applications.- Cyber-physical systems and Cloud applications.- Time-series prediction.- Learning-algorithms.- Short papers.- Tutorials.


Klappentext

This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.
The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.




Includes supplementary material: sn.pub/extras



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