IEEE TNN CFP: Special Issue on Everday Applications

[Robert Marks]

Special Issue of the IEEE Transactions on Neural Networks:

Every Day Applications of Neural Networks

The objective of this special issue is presentation of cases of 
ongoing or every day use of neural networks in industry, commerce, medicine,
engineering, military and other disciplines.  

Even though  artificial neural networks have been around since the 1940's, 
the last decade has seen a tremendous upsurge in research and development.  This
activity has been at two levels,
(i) advances in neural techniques and network architectures and
(ii) exploration of application of this technology in various fields.
Neural network technology has reached a degree of maturity as evidenced 
by an ever increasing number of applications.   It is useful, at this
stage, to take stock of applications to provide the neural practitioner 
(i) knowledge of fields wherein neural technology has had an impact, and  
(ii) guidance concerning fruitful areas of research 
and development in neurotechnology that have a significant impact.

This special issue of the TNN calls for submission of papers concerning 
neural technology adopted for ongoing or everyday use.  Hybrid neural
technology, such as neuro-fuzzy systems, are also appropriate.  Submissions are
to specifically address the infusion and adaptation of neural technology 
in various areas.  Exploratory applications papers, normally welcome for
submission to the TNN, are specifically discouraged for this special
issue.  Adopted and established applications papers, rather, are
appropriate.  Submissions to the special issue will be judged based on the
veracity of everyday use, comparitive performance over previously used
techniques and lessons learned from the development and applications
Descriptions of remaining open problems or desired, though unachieved
performance attainment, are encouraged.

Six copies of the manuscript should be mailed to one of the special issue 
editors by November 15, 1996.  The special issue is tentatively scheduled for
publication in July 1997.Submissions could either be brief papers or regular papers.
Please refer to instructions to authors for TNN.

Tharam Dillon
Professor of Computer Science
Head, Department of Computer Science and Computer Engineering
La Trobe University
Bundoora, Melbourne, Victoria 3083
Australia
Tel: +61 3 479 2598
Fax: +61 3 479 3060
tharam at latcs1.cs.latrobe.edu.ua

Payman Arabshahi
University of Washington
Department of Electrical Engineering
Benton Way at Stevens Way
Box 352500
Seattle, WA 98195
United States of America
payman at ee.washington.edu
206 236 2694
FAX: 206 543 3842

Robert J. Marks II
University of Washington
Department of Electrical Engineering
c/o 1131 199th Street SW
Lynnwood, WA 98036-7138
United States of America
r.marks at ieee.org
206 543 6990
FAX: 206 776 9297 
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