CALL FOR PAPERS
Charles Wilson x2080
wilson at magi.ncsl.nist.gov
Wed Nov 14 13:16:00 EST 1990
CALL FOR PAPERS
PROGRESS IN NEURAL NETWORKS
This is a call for papers for Special Volume of the
Progress In Neural Networks Series. This volume will
concentrate on software implementation of neural
networks, natural and synthetic. Contributions from
leading researchers and experts will be sought. This
series is intended for a wide audience, including those
professionally involved in neural network research, such
as lecturers and primary investigators in neural
computing, neural modeling, neural learning, neural
memory, and neurocomputers.
Authors are invited to submit an abstract, extended
summary, or manuscripts describing recent progress in
theoretical analysis, modeling, or design of neural
network architecture. The manuscripts should be self
contained and of a tutorial nature. Suggested topics
include, but are not limited to:
* Parallel Architectures
* Distributed Architectures
* Hybrid Architectures
* Parallel Learning Models
* Connectionist Architectures
* Associative Memory
* Self Organizing and Adaptive Systems
* Neural Net Language)to)Architecture Translation
Ablex and the editors invite you to submit an
abstract, extended summary, or manuscript proposal for
consideration. Please contact the editors directly.
Omid M. Omidvar, Associate Professor Charles L. Wilson, Manager
Progress Series Editor Associate Volume Editor
University of the District of Columbia Image Recognition Group
Computer Science Department Advanced Systems Division
4200 Connecticut Avenue, N.W. National Inst. of Tech & Stand.
Washington, D.C. 20008 Gaithersburg, Maryland 20899
Tel:(202)282-7345 Fax:(202)282-3677 Tel:(301)975-2080 Fax:(301)590-0932
Email: OOMIDVAR at UDCVAX.BITNET Email:Wilson at MAGI.NCSL.NIST.GOV
Publisher:Ablex Publishing Corp.,355 Chestnut St.,
Norwood,NJ 07648 (201)767)8450
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