Connectionists: Special Session on Complex-Valued Neural Networks at IEEE WCCI-IJCNN-2008

[Igor Aizenberg]

Dear colleagues,

We are pleased no announce a 

Special session on Complex-Valued Neural Networks, 

which will be organized at

IEEE World Congress on Computational Intelligence - 2008
International Joint Conference on Neural Networks (IJCNN-2008)
Hong Kong, June 1-6, 2008

http://www.wcci2008.org/index.htm 

Organizers/Chairs: 

Akira Hirose 
University of Tokyo, Japan
e-mail: ahirose at ee.t.u-tokyo.ac.jp URL:
http://www.eis.t.u-tokyo.ac.jp/ 

Jacek M. Zurada 
University of Louisville, USA 
e-mail: jacek.zurada at louisville.edu URL:
http://ci.louisville.edu/zurada 

Igor Aizenberg 
Texas A&M University-Texarkana, USA
e-mail: igor.aizenberg at tamut.edu URL: http://www.freewebs.com/igora 

Please, take a look at the Detailed Scope of the Session
http://www.eagle.tamut.edu/faculty/igor/IJCNN_CVNN_Special_Session_Scope
.htm 

All guidelines and instructions for authors are given here
http://www.wcci2008.org/submission.htm 

Important Dates:

December 1, 2007 	Deadline for the paper submission
February 1, 2008 	Notification of acceptance 
March 1, 2008 	Deadline for final paper submission 
June 1-6, 2008 	Conference, Technical and social programs

The complex-valued neural networks (CVNNs) is a quickly growing area
that attracts more and more researchers. There is a line of the CVNN
Special Sessions organized during last years, for example, at ICONIP
2002, Singapore, ICANN/ICONIP 2003, Istanbul, ICONIP 2004, Calcutta,
WCCI-IJCNN 2006, Vancouver, "Fuzzy Days 2006", Dortmund, ICANN 2007,
Porto. Everywhere these sessions had large audience, which is growing
continuously. There were many interesting presentations and very
productive discussions.
There are several new directions in CVNNs development: from formal
generalization of the commonly used algorithms to the complex-valued
case that are mathematically beautiful to the use of original
complex-valued activation functions that can increase significantly the
neuron and network functionality. There are also many interesting
applications of CVNNs in pattern recognition and classification, image
processing, time series prediction, bioinformatics, robotics, etc.
One of the most important characteristics of the CVNNs is the proper
treatment of amplitude and phase information, e.g., the treatment of
wave-related rotation-related phenomena such as electromagnetism, light
waves, quantum waves and oscillatory phenomena. Very interesting among
other CVNNs are those networks that are based on neurons with the
phase-dependent activation functions. This specific phenomenon makes it
possible to increase the single neuron's functionality and to design
more flexible and more effective networks. It is also very interesting
to study how these phenomena can be used in modeling of the biological
neural networks.

IEEE WCCI 2008 in Hong Kong will be a very attractive forum, where it
will be possible to organize a systematic and comprehensive exchange of
ideas in the area, to present the recent research results and to discuss
the future trends. We hope that the proposed session will attract not
only the potential speakers, but many researches who can join the CVNNs
community. We expect also that this session would be very beneficial for
all CI researchers and other specialties that are in need of the
sophisticated neural networks tools.

Papers that are, or might be, related to all aspects of the CVNNs are
invited. We welcome contributions, where a fundamental theory is
developed, as well as contributions, where different applied problems
are considered. We also welcome potential contributions form other areas
that are on the boarders of the proposed scope. Topics include, but are
not limited to:

*	Theoretical Aspects of CVNNs and Complex-Valued Activation
Functions
*	Complex-Valued Associative Memories
*	Dynamics of Complex-Valued Neurons
*	Learning Algorithms for CVCNNs
*	Chaos in Complex Domain
*	Feedforward CVCNNs
*	Pattern Recognition, Classification and Time Series Prediction
using CVCNNs
*	Spatiotemporal CVNNs Processing
*	Frequency Domain CVNNs Processing
*	Phase-Sensitive Signal Processing
*	Applications of CVNNs in Image Processing, Speech Processing and
Bioinformatics
*	Quantum Computation and Quantum Neural Networks
*	CVNNs in Robotics
*	Quaternion and Clifford Networks

________________
Dr. Igor Aizenberg
Texas A&M University-Texarkana
Department of Computer and Information Sciences
P.O. Box 5518, 
2600 N. Robison Rd. Texarkana, 
Texas 75505 USA
Phone: (1 903) 223-3183; 
Fax:   (1 903) 223-3189;
Skype: igor_aizenberg
e-mail: igor.aizenberg at tamut.edu
        or igor.aizenberg at gmail.com
URL:   http://www.freewebs.com/igora