September 2nd - 5th, 2016, Robert Gordon University, Aberdeen
The proceedings will be published in the Springer series
Communications in Computer and Information Science
About EANN 2016
The 17th International Conference on Engineering Applications of Neural Networks (EANN) will take place in Aberdeen in September, 2016.

Since the first conference in 1995, EANN has provided a vibrant discussion forum on engineering applications of neural networks and related artificial intelligence methods. Neural networks are adaptive learning systems that increasingly form part of data mining and pattern recognition solutions, on the web and in embedded systems, from financial data analysis and surveillance to medical informatics and virtual learning environments.

EANN promotes neural networks and associated techniques and the significant benefits that can be derived from their use. The conference is not only for reporting advances, but also for showing how neural networks provide practical solutions in a wide range of applications.

In previous years EANN attracted a broad spectrum of delegates from across the world presenting an amazing range of neural network and related applications. Variations and extensions of many methods are well represented in the papers, ranging from support vector machines, fuzzy reasoning, and Bayesian methods to snap-drift and spiking neurons.

EANN 2016 is sponsored by the Scottish Informatics and Computer Science Alliance (SICSA). 6 PhD students studying at SICSA universities will have free registration. EANN 2016 is supported by the INNS (International Neural Network Society) and more specifically by the EANN Special Interest Group.

The conference is of interest for engineers, researchers, academics and managers from universities, research centres and industry. Papers are presented orally and not more than 2 sessions are held simultaneously in order to offer a real forum for discussion. Submissions are welcome from all fields of informatics and engineering and some special sessions, dedicated to these different fields, are organised.

Both theoretical and practical work should be submitted, but the authors are encouraged to focus their paper on the presentation of an application featuring experimental results on real world data. There will be an exhibition of software and products from researchers and companies, and submissions of proposals for exhibits are welcome. Topics include, but are not limited to, the following:
Topics include, but are not limited to, the following:

Neural networks techniques:

Research areas:

Engineering Applications:

Learning theory
Evolutionary architectures
Support vectors machines
Unsupervised Learning
Reinforcement Learning
Adaptive architecture
Fuzzy logic and systems
Hybrid system
Hardware development
Low cost architectures

Computer vision
Pattern Recognition
Colour, Motion analysis
Signal Processing
Intelligent Transportation Systems
Financial Forecasting
Time Series Analysis
Data mining
Adaptive Control
Modelling and identification
Process Monitoring and Diagnosis
Intelligent Agents
Multi Agent Systems
Real Time Intelligent Systems
Fuzzy logic and systems
Support vectors machines
Humanistic Data Mining
Genetic Algorithms and Optimization
Feature Minimization
Clustering - Fuzzy Clustering

Civil Engineering Applications
Fuzzy Systems
Biomedical Engineering Applications
Decision Making Applications
Manufacturing Engineering Applications
Computer science
Thermal Engineering
Financial Engineering
General Engineering Applications
Environmental Engineering
Risk Modelling
Social Media Applications

EANN 2016 Steering Committee

Prof. Chrisina Jayne, Robert Gordon University - Program Committee Chair and Genreal Chair

Prof. Lazaros Iliadis, Democritus University of Thrace - Program Committee Chair

Professor Nikola Kasabov, Director and Founder, Knowledge Engineering and Discovery Research Institute (KEDRI) - Advisory Chair

Dr Michael Heron, Robert Gordon University, Local Committee Chair