2012 IEEE World Congress on Computational Intelligence (WCCI-2012)
International Joint Conference on Neural Networks (IJCNN-2012)
Brisbane, Australia, June 10-15, 2012
Complex-Valued Neural Networks
Texas A&M University-Texarkana, USA
e-mail: igor.aizenberg at tamut.edu URL: http://www.eagle.tamut.edu/faculty/igor
University of Tokyo, Japan
e-mail: ahirose at ee.t.u-tokyo.ac.jp URL: http://www.eis.t.u-tokyo.ac.jp/
Imperial College, London, UK
e-mail: firstname.lastname@example.org URL: http://www.commsp.ee.ic.ac.uk/~mandic/
Jacek M. Zurada
University of Louisville, USA
e-mail: jacek.zurada at louisville.edu URL: http://ci.louisville.edu/zurada
Please, take a look at the Detailed Scope of the Session
To submit a paper to the special session, please go to the IJCNN-2012 Paper Submission page.
Please, choose a Special Session S11 “Complex-Valued Neural Networks” from the “Main Research Topic” drop-down menu.
To ensure that your paper will be submitted to our special session, please double check that you definitely choose this topic from the menu.
All instructions, which you need to follow to prepare your manuscript, are given here
December 19, 2011 Deadline for paper submission
February 20, 2012 Notification of acceptance
April 2, 2012 Deadline for final paper submission
June-10-15, 2012 Conference, Technical and social programs
We are looking forward to seeing you in Brisbane !
… There are several new directions in CVNN’s development: from formal generalization of the commonly used algorithms to the complex-valued case that are mathematically richer than regular neurons, to the use of original complex-valued activation functions that can increase significantly the neuron and network functionality. One of the new trends is the development of quaternion neurons and neural networks. There are also many interesting applications of CVNNs in pattern recognition and classification, nonlinear filtering, image processing, time series prediction, bioinformatics, robotics, etc.
One of the most important characteristics of the CVNNs is the proper treatment of phase and the 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.
IJCNN 2012 at WCCI 2012 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 new researches interested in joining 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
- Learning Algorithms for CVNNs
- Complex-Valued Associative Memories
- Pattern Recognition, Classification and Time Series Prediction using CVCNNs
- CVNNs in Nonlinear Filtering
- Dynamics of Complex-Valued Neurons
- Learning Algorithms for CVCNNs
- Chaos in Complex Domain
- Feedforward 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
Igor Aizenberg (Texas A&M University-Texarkana, USA)
Akira Hirose (University of Tokyo, Japan)
Danilo Mandic (Imperial College, UK)
Jacek M. Zurada (University of Louisville, USA)
Constantine Butakoff (University of Pompeu Fabra, Spain)
Simone Fiori (Università Politecnica delle Marche, Italy)
Yasuaki Kuroe (Kyoto Institute of Technology, Japan)
Andy Lozowski (Southern Illinois University Edwardsville, USA)
Nobuyuki Matsui (University of Hyogo, Japan)
Kazuyuki Murase (University of Fukui, Japan)
Tohru Nitta (AIST, Japan)
Dmitriy Paliy (Nokia Research, Finland)
Shigeo Sato (Tohoku University, Japan)
Ramasamy Savitha (Nanyang Technological University, Singapore)
Bipin K. Tripathi (Indian Institute of Technology, India)