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 proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
Pages81-88
Number of pages8
DOIs
Publication statusPublished - 2011
Event18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011 - Las Vegas, NV, United States
Duration: Apr 27 2011Apr 29 2011

Other

Other18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
CountryUnited States
CityLas Vegas, NV
Period4/27/114/29/11

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Keywords

  • Artificial Neural Networks
  • Automatic programming
  • Computation theory
  • Evolutionary computation
  • Parallel architecture

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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). [5934807] https://doi.org/10.1109/ECBS.2011.27