2016 13th Symposium on Neural Networks and Applications (NEUREL)

1.1 Learning methods

2.1 Feedforward networks

3.1 Signal and image processing

1.2 Cognitive sciences

2.2 Recurrent neural networks

3.2 Robotics and control systems

1.3 Genetic algorithms

2.3 Self-organizing networks

3.3 Measurement and intelligent devices

1.4 Deep and machine learning

2.4 Cellular neural networks

3.4 Data, text, multimedia mining

1.5 Computational neuroscience

2.5 Sensor networks and remote sensing

3.5 Communications and multimedia

1.6 Bayesian models

2.6 Molecular and quantum computing

3.6 Feature extraction and retrieval

1.7 Fuzzy systems

2.7 Fuzzy neural networks

3.7 Pattern recognition and classification

1.8 Bio-inspired systems

2.8 Optoelectronic neural networks

3.8 Bioinformatics and medical diagnosis

1.9 Complex systems and chaos

2.9 Implementations in mobile devices

3.9 Time series forecasting

1.10 Fractals and multifractals

2.10 Brain-machine interfaces

3.10 Power systems control