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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

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