Queral networks: Toward an approach for engineering large artificial neural networks

Travis A. Hoffman; Jerzy W. Rozenblit; Ali Akoglu; Liana Suantak

doi:10.1109/ECBS.2011.27

Queral networks: Toward an approach for engineering large artificial neural networks

Travis A. Hoffman, Jerzy W. Rozenblit, Ali Akoglu, Liana Suantak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

A generalization of an artificial neuron is introduced in this paper. Called the queron¹, 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.

Original language	English (US)
Title of host publication	Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
Pages	81-88
Number of pages	8
DOIs	https://doi.org/10.1109/ECBS.2011.27
State	Published - 2011
Event	18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011 - Las Vegas, NV, United States Duration: Apr 27 2011 → Apr 29 2011

Publication series

Name	Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011

Other

Other	18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
Country/Territory	United States
City	Las Vegas, NV
Period	4/27/11 → 4/29/11

Keywords

Artificial Neural Networks
Automatic programming
Computation theory
Evolutionary computation
Parallel architecture

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ECBS.2011.27

Cite this

Hoffman, T. A., Rozenblit, J. W., Akoglu, A., & Suantak, L. (2011). Queral networks: Toward an approach for engineering large artificial neural networks. In Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011 (pp. 81-88). Article 5934807 (Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011). https://doi.org/10.1109/ECBS.2011.27

Queral networks: Toward an approach for engineering large artificial neural networks. / Hoffman, Travis A.; Rozenblit, Jerzy W.; Akoglu, Ali et al.
Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011. 2011. p. 81-88 5934807 (Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hoffman, TA, Rozenblit, JW , Akoglu, A & Suantak, L 2011, Queral networks: Toward an approach for engineering large artificial neural networks. in Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011., 5934807, Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011, pp. 81-88, 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011, Las Vegas, NV, United States, 4/27/11. https://doi.org/10.1109/ECBS.2011.27

Hoffman TA, Rozenblit JW , Akoglu A, Suantak L. Queral networks: Toward an approach for engineering large artificial neural networks. In Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011. 2011. p. 81-88. 5934807. (Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011). doi: 10.1109/ECBS.2011.27

Hoffman, Travis A. ; Rozenblit, Jerzy W. ; Akoglu, Ali et al. / Queral networks : Toward an approach for engineering large artificial neural networks. Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011. 2011. pp. 81-88 (Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011).

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abstract = "A generalization of an artificial neuron is introduced in this paper. Called the queron1, 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.",

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Queral networks: Toward an approach for engineering large artificial neural networks

Abstract

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Keywords

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