
Engineering Applications of Neural Networks
15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings
Springer (Publisher)
Published on 23. September 2014
Book
Paperback/Softback
XIV, 250 pages
978-3-319-11070-7 (ISBN)
Description
This volume constitutes the refereed proceedings of the 15th International Conference on Engineering Applications of Neural Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014. The 18 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. The papers demonstrate a variety of applications of neural networks and other computational intelligence approaches to challenging problems relevant to society and the economy. These include areas such as: environmental engineering, facial expression recognition, classification with parallelization algorithms, control of autonomous unmanned aerial vehicles, intelligent transport, flood forecasting, classification of medical images, renewable energy systems, intrusion detection, fault classification and general engineering.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
82 s/w Abbildungen
XIV, 250 p. 82 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
406 gr
ISBN-13
978-3-319-11070-7 (9783319110707)
DOI
10.1007/978-3-319-11071-4
Schweitzer Classification
Other editions
Additional editions

Valeri Mladenov | Chrisina Jayne | Lazaros Iliadis
Engineering Applications of Neural Networks
15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings
E-Book
08/2014
Springer
€53.49
Available for download
Content
Environmental engineering.- Facial expression recognition.- Classification with parallelization algorithms.- Control of autonomous unmanned aerial vehicles.- Intelligent transport.- Flood forecasting.- Classification of medical images.- Renewable energy systems.- Intrusion detection.- Fault classification and general engineering.