Engineering Applications of Neural Networks

15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings
2014
ISBN: 978-3-319-11070-7
Verlag: Springer International Publishing

Buch, Englisch, Band 459, 250 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4044 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Mladenov, Valeri

Iliadis, Lazaros

Jayne, Chrisina

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

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.