Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR

M. L. Padgett, T. A. Roppel, V. Becanovic, G. Székely, J. Waldemark

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A novel methodology is suggested for the selection of exemplars in algorithm training and testing. The practicality of this new approach is illustrated in relation to Automatic Target Recognition (ATR) by an electronic nose system. The proposed method, combining Pulse Coupled Neural Networks Factoring with Evolutionary Algorithms is compared with use of a traditional Principal Component Analysis, and a development strategy combining the two is suggested.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages542-548
Number of pages7
Volume3718
Publication statusPublished - 1999
EventProceedings of the 1999 Automatic Target Recognition IX - Orlando, FL, USA
Duration: Apr 7 1999Apr 9 1999

Other

OtherProceedings of the 1999 Automatic Target Recognition IX
CityOrlando, FL, USA
Period4/7/994/9/99

Fingerprint

Automatic target recognition
target recognition
Evolutionary algorithms
Principal component analysis
Feature extraction
Neural networks
Testing
principal components analysis
electronics
education
methodology
pulses
Electronic nose

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Padgett, M. L., Roppel, T. A., Becanovic, V., Székely, G., & Waldemark, J. (1999). Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3718, pp. 542-548). Society of Photo-Optical Instrumentation Engineers.

Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR. / Padgett, M. L.; Roppel, T. A.; Becanovic, V.; Székely, G.; Waldemark, J.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3718 Society of Photo-Optical Instrumentation Engineers, 1999. p. 542-548.

Research output: Chapter in Book/Report/Conference proceedingChapter

Padgett, ML, Roppel, TA, Becanovic, V, Székely, G & Waldemark, J 1999, Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 3718, Society of Photo-Optical Instrumentation Engineers, pp. 542-548, Proceedings of the 1999 Automatic Target Recognition IX, Orlando, FL, USA, 4/7/99.
Padgett ML, Roppel TA, Becanovic V, Székely G, Waldemark J. Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3718. Society of Photo-Optical Instrumentation Engineers. 1999. p. 542-548
Padgett, M. L. ; Roppel, T. A. ; Becanovic, V. ; Székely, G. ; Waldemark, J. / Feature selection for PCNN exemplars as applied to electronic nose analysis and ATR. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3718 Society of Photo-Optical Instrumentation Engineers, 1999. pp. 542-548
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