Quantization errors in committee machine for gas sensor applications

Minghua Shi, Sofiane Brahim-Belhouari, Amine Bermak

Research output: Contribution to journalConference article

2 Citations (Scopus)

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
Article number1464986
Pages (from-to)1911-1914
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - 1 Dec 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 23 May 200526 May 2005

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Keywords

  • Committee machine
  • Gas sensors
  • Quantization error

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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