PREMIA (Singapore)

Venue:
Software Engineering Laboratory, S2.2-B4-04
School of EEE, Academic Complex South, Nanyang Technological University
Nanyang Avenue, Singapore 639798.

Please visit http://www.street-directory.com/ntu/ for the campus map. The closest carparks are P, Q, R (free) and the underground carpark under Academic Complex South (cashcard payment).

Admission:
Members of PREMIA: S$370.00
Non-members: S$450.00
Student members of PREMIA*: S$250.00
Student non-members*: S$300.00
* Limited seats only
The above fees include 1-year free PREMIA membership for non-members and 1-year free PREMIA membership renewal for existing members. Please indicate your membership status on the registration page by filling up the membership number field or leaving it blank if your are not a member yet. You can check your membership number by logging onto to the web account. You may email to webmaster@premia-sg.org if you have any enquiries about your membership with PREMIA.

Registration will be confirmed upon receipt of registration fee. Please send your cheque to the following address:

Prof Graham Leedham, Head - Division of CPS
(PREMIA Short-Course)
N4-2A.32
School of Computer Engineering
Nanyang Technological University
Singapore 639798

Please cross your cheque and make it payable to PREMIA. Please write your name and contact number on the back of your cheque.
Alternatively, you may pay through interbank transfer. Please email GAOY0004@ntu.edu.sg for further details.

Registration: Please register online via http://www.premia-sg.org/index.php?option=com_events&event_id=8&task=register
(Registration is closed now).

Synopsis:

This short course provides a tutorial introduction to neural networks, and an explanation of how to apply them to the solution of practical problems. Theoretical topics include basic concepts of neural processing, learning rules, learning algorithms and appropriate network architectures. Applications are discussed that cover function approximation, classification and recognition of patterns, clustering, data visualization, control and prediction. The emphasis is to use many examples and applications, and Matlab instruction for implementing neural networks will be given to the attendees. The software focus will be on the second day while foundations will be lectured on the first day.

Outline: • Introduction: definitions, basic concepts, simulators, examples, applications, historical overview • Learning rules • Supervised learning • Perceptron learning (discrete AF) • Delta learning (continuous AF) • Unsupervised learning • Hebbian learning • Winner-Take-All learning • Error back-propagation algorithm • Applications of multiplayer feed-forward neural networks • Principal component learning • Self-organizing feature maps and their applications • Attractor (Hopfield) neural networks and associative memories (if time permits)

Applications address one or more of the following functionalities: • Function approximation • Classification/clustering • Control • Prediction • Data visualization

Biography:

Jacek M. Zurada is the S.T. Fife Alumni Professor of Electrical and Computer Engineering at the University of Louisville, Louisville, Kentucky. He is the co-editor of the 2000 MIT Press volume, Knowledge-Based Neurocomputing, and the author of the 1992 PWS text Introduction to Artificial Neural Systems, contributor to the 1994 and 1995 Ablex volumes Progress in Neural Networks, and co-editor of the 1994 IEEE Press volume Computational Intelligence: Imitating Life. He is the author or co-author of more than 180 journal and conference papers in the area of neural networks, analog and digital VLSI circuits. In 1998-2003 Dr. Zurada was the Editor-in-Chief of IEEE Transactions on Neural Networks. Dr. Zurada is also an Associate Editor of Neurocomputing, and was an Associate Editor of IEEE Transactions on Circuits and Systems, Part I and Part II. He received a number of awards for distinction in research and teaching, including the 1993 Presidential Award for Research, Scholarship and Creative Activity. Dr. Zurada received the 2001 University of Louisville President's Distinguished Service Award for Service to the Profession. He is an IEEE Distinguished Speaker for the Circuits and Systems Society and the Neural Networks Society. Dr. Zurada serves and as the President of IEEE Computational Intelligence Society in 2004-05. In March 2003 Dr. Zurada was conferred the Title of the Professor by the President of Poland, Aleksander Kwasniewski.