Neural network transformation of arbitrary Boolean functions

Basit Hussain, Mansur R. Kabuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Boolean logic is considered to be a good source for classification problems, an area dominated by neural networks. Although quite a few algorithms exist for training and implementing neural networks, no technique exists that can guarantee the transformation of any arbitrary Boolean function to neural networks. This paper describes a method that accomplishes exactly that. The algorithm is tested on the classic character recognition problem using translated, rotated, deformed, and noisy patterns. The initial simulation results are presented. Comparison of the proposed network to several popular existing networks has been performed and its advantages outlined. The future direction of research has also been explained.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages355-367
Number of pages13
ISBN (Print)0819409391
StatePublished - Dec 1 1992
EventNeural and Stochastic Methods in Image and Signal Processing - San Diego, CA, USA
Duration: Jul 20 1992Jul 23 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1766
ISSN (Print)0277-786X

Other

OtherNeural and Stochastic Methods in Image and Signal Processing
CitySan Diego, CA, USA
Period7/20/927/23/92

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Hussain, B., & Kabuka, M. R. (1992). Neural network transformation of arbitrary Boolean functions. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 355-367). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1766). Publ by Int Soc for Optical Engineering.