Complex-Valued Neural Networks Session at IJCNN-2011: San Jose, USA, 31 Jul.-5 Aug. 2011

2011 International Joint Conference on Neural Networks (IJCNN-2011)
San Jose, California, USA, July 31-August 5, 2011
Special Session: Complex-Valued Neural Networks (including Quaternion and Clifford Networks!)


To submit a paper to the special session, please go to the
IJCNN-2011 Paper Submission page.

Please, choose a Special Session S07 “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.

Important Dates:

February 1, 2011: Deadline for paper submission

April 1, 2011                   Notification of acceptance

May 1, 2011                   Deadline for final paper submission

July 31-August 5, 2011   Conference, Technical and social programs

We are looking forward to seeing you in San Jose !

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, WCCI-IJCNN 2010, Barcelona. 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. One of the new trends is 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 2011 in San Jose 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
  • 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

Source: Emails from A. Hirose and I. Aizenberg,


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