Complex-valued neural networks (CVNNs) and quaternionic neural networks (QNNs) constitute a growing research area that has attracted continued interest for the last decade. One of the most important characteristics of CVNNs is the proper treatment of phase and the information contained in phase, e.g., the treatment of wave- and rotation-related phenomena such as electromagnetism, light waves, quantum waves, and oscillatory phenomena. QNNs, which have potential applications in three- and four-dimensional data modeling, have been effectively used for processing and analysis of multivariate images such as color and polarimetric SAR images.
More generally, hypercomplex-valued neural networks – which include CVNNs and QNNs, treat multidimensional data as a single entity. There are several new directions in hypercomplex-valued neural networks: from formal generalization of the commonly used algorithms to the hypercomplex case that are mathematically richer than regular neurons, to the use of original activation functions that can increase significantly the neuron and network functionality. There are also many interesting applications of HVNNs in pattern recognition and classification, nonlinear filtering, intelligent image processing, brain-computer interfaces, time-series prediction, bioinformatics, robotics, etc.
The CVNNs special session, which indeed covers hypercomplex-valued models, has become a traditional event of the IJCNN conference. Eight special sessions organized since 2006 (WCCI-IJCNN 2006, Vancouver; WCCI-IJCNN 2008, Hong Kong; IJCNN 2009, Atlanta; WCCI-IJCNN 2010, Barcelona; IJCNN-2011, San Jose; WCCI-IJCNN 2012, Brisbane; IJCNN-2013, Dallas; IJCNN-2014, Beijing, WCCI-IJCNN 2016, Vancouver) attracted numerous submissions and had large audiences. They featured many interesting presentations and very productive discussions.
IJCNN 2018, which is an integrated part of IEEE WCCI 2018, will be a very attractive forum for complex-valued and quaternionic neural networks. 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 future trends. We hope the proposed session will attract not only potential speakers, but also many researches interested in joining the hypercomplex-valued neural network community. We expect that this session would be very beneficial for 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 hypercomplex-valued neural networks, including CVNNs and QNNs, are invited. We welcome contributions on theoretical advances as well as contributions of applied nature. We also welcome interdisciplinary contributions from other areas that are on the borders of the proposed scope. Topics include, but are not limited to:
University of Campinas, Brazil
Email: valle@ime.unicamp.br
URL: http://www.ime.unicamp.br/~valle
Manhattan College, USA
Email: igor.aizenberg@manhattan.edu
URL: https://manhattan.edu/campus-directory/iaizenberg01
University of Tokyo, Japan
Email: ahirose at ee.t.u-tokyo.ac.jp
URL: www.eis.t.u-tokyo.ac.jp/
Imperial College, London, UK
Email: d.mandic@imperial.ac.uk
URL: http://www.commsp.ee.ic.ac.uk/~mandic/
To submit a paper to the special session, please go to the IJCNN-2018 paper submission page.
All instructions, which you need to follow to prepare your manuscript, are given here.
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