Research Projects 1994-1998

1. Computationally intelligent hybrid-paradigm environments (HYPE)

1.1 Application of fuzzy adaptive arithmetic in design

1.2 Industrial applications of genetic algorithms

1.3 Probabilistic hybrid systems

1.4 Sales support system for synchronous machines

2. Dynamic systems modeling (DYSMO)

2.1 Elevator dynamics modeling and simulation

2.2 Modeling, analysis and control of combustion

2.3 Multiparameter polynomial models for monitoring and management of fermentation and food processes

2.4 Neural network based system for forecasting district heat load

2.5 Neural network model for elevator dynamics

3. Learning and intelligent image and signal analysis (LIISA)

3.1 Adaptive image analysis

3.2 Intelligent signal analysis and the required component technology

3.3 Neuro-Fuzzy systems

4. Methods for demanding neurocomputing applications (MENES)

4.1 Computationally intelligent analysis of large data sets

4.2 Measurement-based monitoring and modelling of complex systems

4.3 Using external knowledge in neural network models

5. Tool environments and development methods (TOOLMET)

5.1 Applying neural networks and fuzzy logic in medicine

5.2 Knowledge integration in the development of fuzzy systems

5.3 Neural fuzzy systems application design workbench

5.4 Self configuration and optimization in fuzzy systems

jukka.iivarinen@hut.fi
http://www.cis.hut.fi/neuronet/Tekes/content1.shtml
Wednesday, 29-Nov-2000 12:39:20 EET