IEEE NSS Tutorial on Fuzzy Neural Computing Systems, U of S, Saskatoon, Sat., May 29, 2010

Subject:	IEEE NSS Tutorial on Fuzzy Neural Computing Systems, U of S, Saskatoon, Sat., May 29, 2010
Date:	Tue, 2 Feb 2010 09:45:01 -0800 (PST)

Everyone is welcome to attend the following IEEE North Saskatchewan
Section (NSS) event on Saturday, May 29, 2010, but please preregister
in advance.

Event: IEEE North Saskatchewan Section (NSS) Tutorial on Fuzzy Neural
Computing Systems: Theory and Applications

Tutorial Abstract:

Fuzzy neural networks (FNNs), being the product of fuzzy logic and
neural networks, are computational machines with unique capabilities
for dealing with both numerical data and linguistic knowledge (fuzzy)
information. In this tutorial, first we will provide an illustrative
discussion on the biological basis of neural networks: learning from
nature. Then we will continue our discussion on the basic notions,
mathematical methodology and morphology, and learning and adaptation
algorithms for static neural networks (SNNs). Also, some basic
notions of conventional multilayered feedforward neural networks
(MFNNs) with the well-known backpropagation (BP) learning algorithm
will be discussed. This discussion will be illustrated by means of
some examples taken from logic circuits, neuro-control systems, neuro-
vision systems, pattern recognition, medical systems, and economics.
Then we will discuss some advanced theory, with illustrative examples,
of higher-order correlative neural networks (HOC-NNs).

Then we will provide an extensive discussion on dynamic neural
networks (DNNs) with applications to dynamic memory, control systems,
vision systems, and robotics. For developing FNNs, we will provide
some necessary mathematical theory on fuzzy sets, fuzzy arithmetic,
and fuzzy logic. Several fuzzy logic operations for various types of
fuzzy neurons (FNs), which have fuzzy inputs and fuzzy weights, will
be introduced. Analogous to the BP learning algorithm for MFNNs, the
concepts and formulations of fuzzy backpropagation (FBP) learning
algorithms for FNNs will then be developed. Moreover, the
capabilities and limitations of FNNs consisting of many interconnected
FNs will be discussed. The universal approximation capabilities of
fuzzy basis function networks (FBFNs) that are represented as a
modified version of Gaussian radial basis function networks (GRBFNs)
will also be addressed. The material presented in this tutorial will
not only provide an overview of the existing results, but also present
some state-of-the-art achievements and open problems in the field of
neural computing and fuzzy neural computing.

Tutorial Presenter: Madan M. Gupta, Professor Emeritus and Director
of Intelligent Systems Research Laboratory at University of
Saskatchewan, IEEE Life Fellow, IFSA Fellow, SPIE Fellow, Earned
D.Sc., Ph.D., M.E., B.E.

Date: Saturday, May 29, 2010

Time: 1:00 PM-4:00 PM

Location: Room 1B71, College of Engineering, University of
Saskatchewan, 57 Campus Drive, Saskatoon, Saskatchewan

Tutorial Web Page: http://trailblazerintsys.com/nss2.htm

IEEE NSS Web Site: http://northsask.ieee.ca

Cost: $20 for IEEE members and $30 for individuals who aren't IEEE
members

Tutorial Notes: A hardcopy of the tutorial slides will be provided to
each attendee who preregisters in advance.

Registration: Space is limited due to the room size and we need to
know how many hardcopies of the slides to make, so you should
preregister in advance by emailing Ashu M. G. Solo at
amgsolo@mavericktechnologies.us and please specify if you are an IEEE
member when preregistering.

Tutorial Credit: This tutorial is worth 3 credits for the Continuing
Professional Excellence requirements of the Association of
Professional Engineers & Geoscientists of Saskatchewan (APEGS) or 0.3
CEUs. A letter certifying attendance at this tutorial will be
provided to attendees.

Attachments: A description of the tutorial and a poster for the
tutorial are attached to this email message.

Further Information: For further information on this tutorial, you
can contact Ashu M. G. Solo at amgsolo@mavericktechnologies.us.

Tutorial References:

1. Gupta, M. M., Jin, Liang., and Homma, N. [2003], Static and Dynamic
Neural Networks: From Fundamentals to Advanced Theory, Joint
publishers: Wiley-Interscience and IEEE Press, John Wiley & Sons,
Inc., 722 pages, ISBN: 0-471-21948-7.
Available at
http://www.amazon.ca/Static-Dynamic-Neural-Networks-Fundamentals/dp/0471219=
487/ref=3Dsr_1_2?ie=3DUTF8&s=3Dbooks&qid=3D1265079343&sr=3D8-2

2. Kaufmann, A. and Gupta, M. M. [1985], Introduction to Fuzzy
Arithmetic: Theory and Applications, Van Nostrand Reinhold Company
Inc., New York, 350 pages, [Revised, Second Edition, 1991]. Japanese
Translation by Dr. H. Matsuoka, and Dr. H. Tanaka, Ohmsha Publisher
Ltd., Tokyo, December 1992, 362 pages.
Available at
http://www.amazon.ca/Introduction-Fuzzy-Arithmetic-Applications-Engineering=
/dp/0442008996/ref=3Dsr_1_1?ie=3DUTF8&s=3Dbooks&qid=3D1265079387&sr=3D1-1

3. Gupta, M. M. and. Knopf, G. K. (Editors) [1994], Neuro-Vision
Systems: Principles and Applications, A Volume of Selected Reprints,
IEEE-Neural Networks Council, IEEE-Press, New York, 555 pages.
Available at
http://www.amazon.ca/Neuro-vision-systems-applications-Madan-Gupta/dp/07803=
1042X/ref=3Dsr_1_1?ie=3DUTF8&s=3Dbooks&qid=3D1265079442&sr=3D1-1

4. Gupta, M. M. and Rao, D. H. (Editors) [1994], Neuro-Control
Systems: Theory and Applications, A Volume of Selected Reprints, IEEE
Neural Networks Council, IEEE-Press, New York, 607 pages.
Available at
http://www.amazon.ca/Neuro-Control-Systems-Applications-Madan-Gupta/dp/0780=
310411/ref=3Dsr_1_1?ie=3DUTF8&s=3Dbooks&qid=3D1265079473&sr=3D1-1

5. Various research papers listed at http://trailblazerintsys.com/mmgupta/p=
ublications.pdf

Presenter Biography:

Dr. Madan M. Gupta is a professor (emeritus) in the College of
Engineering and the director of the Intelligent Systems Research
Laboratory at the University of Saskatchewan.

Dr. Gupta has authored or co-authored over 825 published research
papers (http://trailblazerintsys.com/mmgupta/publications.pdf). He
has recently co-authored the seminal book Static and Dynamic Neural
Networks: From Fundamentals to Advanced Theory. Dr. Gupta has
previously co-authored Introduction to Fuzzy Arithmetic: Theory and
Applications (the first book on fuzzy arithmetic) and Fuzzy
Mathematical Models in Engineering and Management Science. Both of
these books have Japanese translations. Also, Dr. Gupta has edited or
co-edited 19 other books as well as many conference proceedings and
journals in the fields of his research interests such as adaptive
control systems, fuzzy computing, neuro-computing, neuro-vision
systems, and neuro-control systems (http://trailblazerintsys.com/
mmgupta/books.htm).

Dr. Gupta was elected fellow of the Institute of Electrical and
Electronics Engineers (IEEE) for his contributions to the theory of
fuzzy sets and adaptive control systems and for the advancement on the
diagnosis of cardiovascular disease. He was elected fellow of the
International Society for Optical Engineering (SPIE) for his
contributions to the field of neuro-control and neuro-fuzzy systems.
He was also elected fellow of the International Fuzzy Systems
Association (IFSA) for his contributions to fuzzy-neural computing
systems.

In 1998, Dr. Gupta was honored by the III- Kaufmann Prize and Gold
Medal for his research in the field of fuzzy logic. This Gold Medal
was presented by the Foundation FEGI (Fundaci=F3 per a l'Estudi de la
Gesti=F3 en la Incertesa: Fuzzy Management Research Foundation) and
SIGEF (Sociedad Internacional de Gesti=F3n Economia: Fuzzy,
International Association for Fuzzy Set Management and Economy) in
Reus, Spain. In 1991, Dr. Gupta was the co-recipient of the Institute
of Electrical Engineering Kelvin Premium. He was elected as a
visiting professor and a special advisor in the area of high
technology to the European Centre for Peace and Development (ECPD),
University for Peace, which was established by the United Nations. In
1991, he was invited by the ECPD to visit and lecture at about five
industrial and research centers in India.

Dr. Gupta received his B.E. (Hons.) and M.E. degrees in electronics-
communications engineering from the Birla Engineering College (now the
Birla Institute of Technology & Science), Pilani, India, in 1961 and
1962, respectively. As a commonwealth scholar, he received his Ph.D.
degree from the University of Warwick, United Kingdom, in 1967 in
adaptive control systems. In the fall of 1998, for his extensive
contributions in neuro-control, neuro-vision, and fuzzy-neural
systems, Dr. Gupta was awarded an earned doctor of science (D.Sc.)
degree by the University of Saskatchewan.

Dr. Gupta is or has been on the editorial board of over fifteen
journals in the field of fuzzy-neural and intelligent systems. Also,
he has participated in the initiation of some of these journals. He
has also served as a founding member of some of the international
societies such as International Fuzzy Systems Association (IFSA),
North American Fuzzy Information Processing Society (NAFIPS) and
Canadian Fuzzy Information and Neural Society (CAN-FINS).

Dr. Gupta's current research interests are in the areas of neuro-
vision systems, neuro-control systems, integration of fuzzy-neural
systems, neuronal morphology of biological vision systems, intelligent
and cognitive robotic systems, cognitive information, new paradigms in
information processing, chaos in neural systems, and fuzzy-neural
logic in law. He is also developing some new architectures of
computational neural networks and computational fuzzy neural networks
for application to advanced robotics, aerospace, medical, industrial,
and business systems and law. His interest also lies in signal and
image processing with applications to medical systems.

Chronological Publication List: http://trailblazerintsys.com/mmgupta/publi=
cations.pdf

Book List: http://trailblazerintsys.com/mmgupta/books.htm

Principal Research Contributions:
http://trailblazerintsys.com/mmgupta/principal_research_contributions.pdf

Curriculum Vitae (C.V.) without Publications:
http://trailblazerintsys.com/mmgupta/cv_without_publications.pdf

Categorized Publication List: http://trailblazerintsys.com/mmgupta/publica=
tions_categorized.pdf

Faculty Page: http://www.engr.usask.ca/faculty/Gupta_Madan.php

Lab Page: http://engrwww.usask.ca/entropy/dept/mee/facilities/isrl.html