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Tutorials: Nov 13, 2011, Shanghai, China
Main Conference: Nov 14-17, 2011, Shanghai, China
Workshops: Nov 18, 2011, Hangzhou, China
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   Final program of ICONIP2011 and book of abstracts are available now.  
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Special Session on Clifford Algebraic Neural Networks


Tohru Nitta
AIST, Japan.
E-mail: tohru-nitta@aist.go.jp

Yasuaki Kuroe
Kyoto Institute of Technology, Japan
E-mail: kuroe@kit.ac.jp


The complex-valued neural networks (CVNNs) have been widening the scope of applications not only in electronics and informatics, but also in social systems. The fields are, namely, optoelectronics, imaging, remote sensing, quantum neural devices and systems, intelligent transport systems, and so on. One of the most important characteristics of the CVNNs is the proper treatment of complex-amplitude information, e.g., the treatment of wave-related / rotation-related phenomena such as electromagnetism, lightwaves, quantum waves, oscillatory phenomena even including traffic signal control, and color image processing based on adaptive signal rotation in the RGB space. Recently there were several Special Sessions (SSs) on complex-valued neural networks in, for example, KES 2001-2003, ICONIP 2002, 2004, ICANN/ICONIP 2003 Istanbul, ICANN 2007 and IJCNN2006, 2008-2010 where we had large audience and enjoyed heated and encouraging discussions successfully. The series indicates the increasing importance of this new area.

Clifford algebraic neural network (CANN) is an extension of real, complex, and quaternionic-valued NNs to higher dimensions. Now we hold a SS on Clifford algebraic neural networks in the ICONIP2011 for a wider audience to develop further investigations both in theoretical and application fields. We will present the latest results and considerations, and discuss prospective possibilities of the CANNs, which naturally includes complex-valued neural networks. Papers that are, or might be, related to the CANNs are widely solicited.

Topics of interest include but not limited to:

  • Complex-valued Neuron Dynamics
  • Complex-valued Associative Memories
  • Chaos in Complex Domain
  • Spatiotemporal CANN Processing
  • CANN-based N-dimensional Information Transform
  • CANN-based Periodic Information Processing
  • Fourier Domain CANN Processing
  • Phase-Sensitive Radar Signal Processing
  • Coherent Optoelectronic Applications
  • Speech, Sonic and Ultrasonic Applications
  • Adaptive Quantum Devices
  • Quantum Computation and Quantum Neural Networks
  • CANNs in Color Image Processing
  • CANNs in Traffic Control
  • CANNs in Robotics

        Tohru Nitta

        AIST, Japan.

        Email: tohru-nitta@aist.go.jp

        Yasuaki Kuroe

        Kyoto Institute of Technology, Japan.

        Email: kuroe@kit.ac.jp

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