Connectionists: Call for Papers - Special Session on Complex-Valued Neural Networks at 2010 WCCI/IJCNN

[Igor Aizenberg]

Dear colleagues,

we are pleased to announce that a Special Session on Complex-Valued
Neural Networks will be organized at the 2010 International Joint
Conference on Neural Networks (IJCNN-2010), which this time will be a
part of 2010 IEEE World Congress on Computational Intelligence.

The conference will be held in Barcelona, Spain on July 18-23, 2010.
The deadline for paper submission is January 31, 2010.

Special sessions organizers:

Igor Aizenberg (Texas A&M University-Texarkana, USA)
Akira Hirose (University of Tokyo, Japan)
Jacek M. Zurada (University of Louisville, USA)

Session web page
http://www.eagle.tamut.edu/faculty/igor/IJCNN_CVNN_Special_Session_Title
.htm 

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, WCCI-IJCNN 2008, Hong Kong, IJCNN 2009, Atlanta. 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 efficient networks. It is also very interesting
to study how the CVNNs can be used in modeling of the biological neural
networks.

WCCI-IJCNN 2010 in Barcelona 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 computational intelligence 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 CVNNs

*         Chaos in Complex Domain

*         Feedforward CVNNs

*         Pattern Recognition, Classification and Time Series Prediction
using CVNNs

*         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

For more information you may contact session organizers

Igor Aizenberg
igor.aizenberg at tamut.edu

Akira Hirose
ahirose at ee.t.u-tokyo.ac.jp

Jacek M. Zurada
jacek.zurada at louisville.edu