Hybrid System Applications
Organizer:
Prof. Fikret Gürgen
Neural networks, fuzzy systems and evalutionary algorithms are building
blocks of intelligent hybrid systems. By including also the other techniques
such as machine learning methods (supervised / unsupervised / reinforcement
) and optimization algorithms, ... various intelligent hybrid systems
are designed.
This section proposal of EIS 2004 plans to collect various hybrid applications
such as neural networks with fuzzy inference. Various neural network types
and fuzzy inference techniques are used to build intelligent systems.
Applications include medical, finance, 3 dimensional modelling, infromation
retrieval, ... etc. areas. The topics may not be limited to the contents
mentioned here.
To
submit papers click
here.
- Prof. Fikret Gürgen
- Bogaziçi Univ
- Comp Eng Dept.
- Bebek 34342 Istanbul/ Turkey
- gurgen@boun.edu.tr
- Tel: (90) 212 358 15 40 / 1863
- Fax: (90) 212 287 2461
