Engineering Applications of Neural Networks

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.

• algorithms
• artificial intelligence
• classification models
• clustering
• computational intelligence
• deep learning
• learning algorithms
• machine learning
• neural networks
• pattern recognition
• signal processing
• speech recognition
• supervised learning
• Support Vector Machines (SVM)

• Robert Gordon University, Aberdeen, United Kingdom

  Chrisina Jayne

• Lab of Forest Informatics (FiLAB), Democritus University of Thrace Lab of Forest Informatics (FiLAB), Orestiada, Greece

  Lazaros Iliadis

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