Technology Lecture on Rough-Neuro-Fuzzy-Genetic Hybrid Intelligent System
Date: 01 Feb 2011 - 01 Feb 2011
Venue: Training Room 1, Level 3, Tower Block, SIMTech
Co-organiser & Sponsor : IEEE Computational Intelligence Society, Singapore Chapter
In this presentation, there be will discussions about the rough-neuro-fuzzy-genetic hybridization. First part of the presentation consists of the new neuro-fuzzy systems and their flexibility issues. Followed by some emphasis on a high accuracy of flexible neuro-fuzzy systems and will cover the development of a new method for designing and reduction of such systems which includes evolutionary techniques.
The second part of the presentation will feature the special neuro-fuzzy systems : type 2 neuro-fuzzy systems, relational neuro-fuzzy systems and rough-neuro-fuzzy systems. Finally, a method for comparison of neuro-fuzzy systems will be described. Applications include pattern classification problems and nonlinear modeling.
2. Formal description of neuro-fuzzy inference systems
3. Basic flexible neuro-fuzzy systems
4. Flexibility in neuro-fuzzy systems
5. A method for designing and reduction of neuro-fuzzy systems
6. Type 2 neuro-fuzzy systems
7. Relational neuro-fuzzy systems
8. Rough-neuro-fuzzy systems
9. Evaluation of neuro-fuzzy systems
10. Applications of pattern classification and nonlinear modeling
9.00 am Registration
9.30am Technology Lecture by Prof Leszek Rutkowski
11.00am End of Seminar
About Prof Rutkowski
Prof Rutkowski (IEEE Fellow and Member of the Polish Academy of Sciences) received the M. Sc. and Ph. D. degrees in 1977 and 1980, respectively, both from the Technical University of Wroclaw, Poland. Since 1980, he has been with the Technical University of Czestochowa where he is currently a Professor and Chairman of the Computer Engineering Department. From 1987 to 1990 he held a visiting position in the School of Electrical and Computer Engineering at Oklahoma State University. His research interests include neural networks, fuzzy systems, computational intelligence, pattern classification and expert systems. In May and July 2004 he presented in the IEEE Transaction on Neural Networks a new class of probabilistic neural networks and generalized regression neural networks working in a time-varying environment. He published over 160 technical papers including 17 in various series of IEEE Transactions. He is the author of the books Computational Intelligence published by Springer (2008), New Soft Computing Techniques For System Modeling, Pattern Classification and Image Processing published by Springer (2004), Flexible Neuro-Fuzzy Systems published by Kluwer Academic Publishers (2004), Methods and Techniques of Artificial Intelligence (2005, in Polish), Adaptive Filters and Adaptive Signal Processing (1994, in Polish), and co-author of two others (1997 and 2000, in Polish) Neural Networks, Genetic Algorithms and Fuzzy Systems and Neural Networks for Image Compression. Dr. Leszek Rutkowski is President and Founder of the Polish Neural Networks Society. He organized and served as a General Chair of the International Conferences on Artificial Intelligence and Soft Computing held in 1996, 1997, 1999, 2000, 2002, 2004, 2006, 2008 and 2010. Dr. Leszek Rutkowski is past Associate Editor of the IEEE Transactions on Neural Networks (1998 – 2005). He is Editor-in-Chief of Journal of Artificial Intelligence and Soft Computing Research and he is on the editorial board of the International Journal of Applied Mathematics and Computer Science (1996 – present), International Journal of Information Technology and Intelligent Computing (2006 – present), IEEE Systems Journal (2007 – present) and International Journal of Biometric (2008 – present). Dr. Leszek Rutkowski was awarded by the IEEE Fellow Membership Grade for contributions to neurocomputing and flexible fuzzy systems. He is a recipient of the IEEE Transactions on Neural Networks 2005 Outstanding Paper Award. Dr. Leszek Rutkowski served (2008 – 2009) in the IEEE Computational Intelligence Society as the Chair of the Distinguished Lecturer Program. He is the Founding Chair of the Polish Chapter of the IEEE Computational Intelligence Society which won 2008 Outstanding Chapter Award.
To reserve a seat for this non-chargeable lecture, please register online.
For technical enquiries : Dr Li Xiang, Email : xli@SIMTech.a-star.edu.sg
For Registration and General Enquiries : Ms Samantha Sukiyama Chan. Email : chanskf@SCE.a-satr.edu.sg