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Engineering Applications of Neural Networks [electronic resource] : 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings / edited by Chrisina Jayne, Lazaros Iliadis.

Contributor(s): Material type: TextSeries: Communications in Computer and Information Science ; 629Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XI, 368 p. 145 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319441887
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

Licensed e-book