Engineering Applications of Neural Networks electronic resource 15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings / edited by Valeri Mladenov, Chrisina Jayne, Lazaros Iliadis.
Material type: TextSeries: Communications in Computer and Information SciencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XIV, 250 p. 82 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319110714Subject(s): Computer Science | Data mining | Artificial intelligence | Optical pattern recognition | engineering | Computer Science | Data Mining and Knowledge Discovery | Pattern Recognition | Computer Applications | Artificial Intelligence (incl. Robotics) | Computational IntelligenceDDC classification: 006.312 LOC classification: QA76.9.D343Online resources: Click here to access onlineEnvironmental 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.
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.
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