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2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
Queral Networks: Toward an Approach for Engineering Large Artificial Neural Networks
Las Vegas, Nevada USA
April 27-April 29
ISBN: 978-0-7695-4379-6
ASCII Text
x 
 
Travis A. Hoffman, Jerzy W. Rozenblit, Ali Akoglu, Liana Suantak, "Queral Networks: Toward an Approach for Engineering Large Artificial Neural Networks," Engineering of Computer-Based Systems, IEEE International Conference on the, pp. 81-88, 2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, 2011.
 
 
BibTex
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@article{ 10.1109/ECBS.2011.27,
author = {Travis A. Hoffman and Jerzy W. Rozenblit and Ali Akoglu and Liana Suantak},
title = {Queral Networks: Toward an Approach for Engineering Large Artificial Neural Networks},
journal ={Engineering of Computer-Based Systems, IEEE International Conference on the},
volume = {0},
year = {2011},
isbn = {978-0-7695-4379-6},
pages = {81-88},
doi = {http://doi.ieeecomputersociety.org/10.1109/ECBS.2011.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Engineering of Computer-Based Systems, IEEE International Conference on the
TI - Queral Networks: Toward an Approach for Engineering Large Artificial Neural Networks
SN - 978-0-7695-4379-6
SP81
EP88
A1 - Travis A. Hoffman,
A1 - Jerzy W. Rozenblit,
A1 - Ali Akoglu,
A1 - Liana Suantak,
PY - 2011
KW - Artificial Neural Networks
KW - Automatic Programming
KW - Computation Theory
KW - Evolutionary Computation
KW - Parallel Architecture
VL - 0
JA - Engineering of Computer-Based Systems, IEEE International Conference on the
ER -
 
A generalization of an artificial neuron is introduced in this paper. Called the queron, this abstraction is the basic computational node of Queral Networks (QN). QNs are introduced as a parallel architecture expected to be an improvement upon Artificial Neural Networks (ANN). The fundamental properties of QNs are presented here: reusability, complexity management and human-readability. It is expected that this proposed architecture will allow the engineering of large, highly parallel computer systems with the computational benefits of ANNs while overcoming the challenge of developing ANNs. A brief case study is given to illustrate the QN concept.
Index Terms:
Artificial Neural Networks, Automatic Programming, Computation Theory, Evolutionary Computation, Parallel Architecture
Citation:
Travis A. Hoffman, Jerzy W. Rozenblit, Ali Akoglu, Liana Suantak, "Queral Networks: Toward an Approach for Engineering Large Artificial Neural Networks," ecbs, pp.81-88, 2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, 2011
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