VI-DYNN'98 Workshop on Virtual Intelligence and Dynamic Neural NetworksVI-DYNN'98, Workshop on Virtual Intelligence and Dynamic Neural Networks

[Karina Waldemark]

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                     Announcement and call for papers:
                                
                                VI-DYNN'98
         Workshop on Virtual Intelligence - Dynamic Neural Networks

                      Royal Institute of Technology, KTH
                                Stockholm, Sweden
                                 June 22-26, 1998
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VI-DYNN'98 Web: http://msia02.msi.se/vi-dynn

Abstracts due to: February  28, 1998

VI-DYNN'98 will combine the DYNN emphasis on biologically inspired
neural network models, especially Pulse Coupled Neural Networks (PCNN),
to the practical applications emphasis of the VI workshops.
In particular we will focus on why, how, and where to use biologically
inspired neural systems. For example, we will learn how to adapt such
systems to sensors such as digital X-Ray imaging devices, CCD's and SAR,
etc. and examine questions of accuracy, speed, etc. Developments in
research on biological neural systems, such as the mammalian visual
systems, and how smart sensors can benefit from this knowledge will also
be presented.

Pulse Coupled Neural Networks (PCNN) have recently become among the most
exciting new developments in the field of artificial neural networks
(ANN), showing great promise for pattern recognition and other
applications. The PCNN type models are related much more closely to real
biological neural systems than most ANN's and many researchers in the
field of ANN- Pattern Recognition are unfamiliar with them. 

VI-DYNN'98 will continue in the spirit and join it with the Virtual
Intelligence workshop series. 
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                 VI-DYNN'98 Topics:
Dynamic NN                     Fuzzy Systems
Spiking Neurons                Rough Sets
Brain Image                    Genetic Algorithms
Virtual Reality
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                   Applications:
Medical   Defense & Space          Others
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Special sessions:

PCNN - Pulse Coupled Neural Networks  
                   exciting new artificial neural networks  
                   related to real biological neural systems
PCNN applications:  
                   pattern recognition  
                   image processing  
                   digital x-ray imaging devices, CCDs & SAR
Biologically inspired neural network models  
                   why, how and where to use them
The mammalian visual system  
                   smart sensors benefit from their knowledge
The Electronic Nose

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International Organizing Committee:  

John L. Johnson (MICOM, USA),   Jason M. Kinser (George Mason U., USA)  
Thomas Lindblad (KTH, Sweden)  Robert Lorenz (Univ. Wisconsin, USA)  
Mary Lou Padgett (Auburn U., USA),   Robert T. Savely (NASA, Houston)  
Manual Samuelides(CERT-ONERA,Toulouse,France)  
John Taylor (Kings College,UK)   Simon Thorpe (CERI-CNRS, Toulouse,
France) 

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Local Organizing Committee:  

Thomas Lindblad (KTH) - Conf. Chairman    
ClarkS. Lindsey (KTH) - Conf. Secretary
Kenneth Agehed (KTH)     Joakim Waldemark (KTH)
Karina Waldemark (KTH)    Nina Weil (KTH) 
Moyra Mann  - registration officer

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Contact:

Thomas Lindblad (KTH) - Conf. Chairman     
email:  lindblad at particle.kth.se          Phone: [+46] - (0)8 - 16 11 09

ClarkS. Lindsey (KTH) - Conf. Secretary      
email:  lindsey at particle.kth.se           Phone: [+46] - (0)8 - 16 10 74

  Switchboard: [+46] - (0)8 - 16 10 00  
  Fax: [+46] - (0)8 - 15 86 74
VI-DYNN'98 Web:        http://msia02.msi.se/vi-dynn

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