Engineering Applications of Neural Networks 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings / [electronic resource] :
edited by Chrisina Jayne, Lazaros Iliadis.
- XI, 368 p. 145 illus. online resource.
- Communications in Computer and Information Science, 629 1865-0929 ; .
- Communications in Computer and Information Science, 629 .
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.
9783319441887
10.1007/978-3-319-44188-7 doi
Computer science.
Data mining.
Artificial intelligence.
Pattern recognition.
Application software.
Computational intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence (incl. Robotics).
Pattern Recognition.
Computer Applications.
Computational Intelligence.
QA76.9.D343
006.312
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.
9783319441887
10.1007/978-3-319-44188-7 doi
Computer science.
Data mining.
Artificial intelligence.
Pattern recognition.
Application software.
Computational intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence (incl. Robotics).
Pattern Recognition.
Computer Applications.
Computational Intelligence.
QA76.9.D343
006.312