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Quantization errors in committee machine for gas sensor applications

  • Minghua Shi*
  • , Sofiane Brahim-Belhouari
  • , Amine Bermak
  • *Corresponding author for this work
  • Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In a digital implementation of a gas identification system, the mapping of continuous real parameters value into a finite set of discrete values introduces an error into the system. This paper presents the results of an investigation into the effects of parameters quantization on different classifiers (KNN, MLP and GMM). We propose a committee machine to decrease the classification performance degradation due to the quantization errors. The simulation results show that the committee machine always outperforms single classifier and the gain in classification performance is greater for reduced number of bits.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1911-1914
Number of pages4
ISBN (Print)9780780388345
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE International Symposium on Circuits and Systems, ISCAS 2005 - Kobe, Japan
Duration: 23 May 200526 May 2005

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2005 IEEE International Symposium on Circuits and Systems, ISCAS 2005
Country/TerritoryJapan
CityKobe
Period23/05/0526/05/05

Keywords

  • Committee machine
  • Gas sensors
  • Quantization error

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