
Engineering Applications of Neural Networks
16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings
Springer (Publisher)
Published on 12. September 2015
Book
Paperback/Softback
XXVIII, 402 pages
978-3-319-23981-1 (ISBN)
Description
This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015.
The 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
130 farbige Abbildungen
XXVIII, 402 p. 130 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
651 gr
ISBN-13
978-3-319-23981-1 (9783319239811)
DOI
10.1007/978-3-319-23983-5
Schweitzer Classification
Other editions
Additional editions

Lazaros Iliadis | Chrisina Jayne
Engineering Applications of Neural Networks
16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings
E-Book
09/2015
Springer
€53.49
Available for download
Content
Industrial-engineering applications of ANN.- Bioinformatics.- Intelligent medical modeling.- Life-earth sciences intelligent modeling.- Learning-algorithms.- Intelligent telecommunications modeling.- Fuzzy modeling.- Robotics and control.- Smart cameras.- Pattern recognition-facial mapping.- Classification.- Financial intelligent modeling.- Echo state networks.