VLSI Design & Test Seminar, Spring 2008
(ELEC7950)
Methods of Computational Intelligence
Speaker: Bogdan M. Wilamowski, wilambm@auburn.edu
Date: Wednesday, February 20, 2008
Time: 4:00 pm
Room: Broun 235
ABSTRACT: Comparison of various methods of computational intelligence is presented and illustrated
with examples. These methods include neural networks, fuzzy systems, and evolutionary computation. The
presentation is focused on neural networks, fuzzy systems and neuro-fuzzy architectures. Various leaning
methods of neural networks including supervised and unsupervised methods are presented and illustrated
with examples. General learning rule as a function of the incoming signals is discussed. Other learning
rules such as Hebbian learning, perceptron learning, LMS - Least Mean Square learning, delta learning,
WTA – Winner Take All learning, and PCA - Principal Component Analysis are presented as derivations of
the general learning rule. Architecture specific learning algorithms for cascade correlation networks,
Sarajedini and Hecht-Nielsen networks, functional link networks, polynomial networks,
counterpropagation networks, RBF-Radial Basis Function networks are described. Dedicated learning
algorithms for on chip neural network training are also evaluated. The presentation focuses on various
practical methods such as Quickprop, RPROP, Back Percolation, Delta-bar-Delta and others. Main
reasons of convergence difficulties such as local minima or flat spot problems are analyzed. More advance
gradient-based methods including pseudo inversion learning, conjugate gradient, Newton and LM Levenberg-Marquardt, NBN learning algorithms will be also presented.
Dr. Bogdan (Dan) M. Wilamowski is Director of AMSTC – Alabama Microelectronics Science and Technology Center
and Professor of Electrical and Computer Engineering Department at Auburn University. He was the Director of the
Institute of Electronics (1979-1981) and the Chair of the Solid State Electronics Department (1987-1989) at the
Technical University of Gdansk, Poland. He was VP for Research at Research Center for Specialized Integrated
Circuits, Torun, Poland. (1987-1989). He was Professor at the University of Wyoming (1989-2000). From 2000 to
2003, he was Associate Director of Microelectronics Research and Telecommunication Institute at University of Idaho
and he was a Professor in Electrical and Computer Engineering Department and in Computer Science Department at
the University of Idaho. Dr. Wilamowski was with the Communication Institute at Tohoku University, Japan (19681970) and he spent one year at the Semiconductor Research Institute, Sendai, Japan as a JSPS Fellow (1975-1976). He
was a visiting scholar at Auburn University (1981-1982 and 1995-1996), and a visiting professor at the University of
Arizona, Tucson (1982-1984). Dr. Wilamowski received two PhDs one in Computer Science and another in Electrical
Engineering. He is the author of four textbooks, about 90 journal and 190 conference publications, and 27 patents. His
main areas of interest are: computational intelligence including neural networks and fuzzy systems, electron devices
and solid-state electronics, mixed signal and analog signal processing, CAD development, computational intelligence,
and network programming. He was the major professor for about 120 graduate students. For contributions to industrial
electronics and static induction devices he was named IEEE Fellow in 2000. Dr. Wilamowski was instrumental in
establishing the IEEE Jun-ichi Nishizawa Medal and currently serves as the Chair of the Medal Selection Committee.
In Industrial Electronics Society he has served as Newsletter Editor (1997-1999), Member of Finance Committee
(1997-2004), Treasurer (1998-2001), President Elect (2001-2003), President (2004-2005); in Neural Network
Society/Council he served as AdCom Member (1998-2004), VP for Finance and Treasurer (2001-2003). Currently he is
VP for Finance the IEEE Computational Intelligence Society He is currently Associate Editor for: IEEE Transactions
on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks, IEEE
Transactions on Education, International Journal of Hybrid Intelligent Systems, Journal of Intelligent and Fuzzy, and
Journal of Computing. He served as the General Chair, Technical Program Committee Chair, and Member of
Organization Committees of various conferences such as IECON, ISIE, ICIPS, ICRAM, IIZUKA, ITM, and ICIT.
Contact: Vishwani Agrawal, vagrawal@eng.auburn.edu