@inproceedings{2ca0e77e9c514283ba1027b6dd757dd5,
title = "Quantization errors in committee machine for gas sensor applications",
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.",
keywords = "Committee machine, Gas sensors, Quantization error",
author = "Minghua Shi and Sofiane Brahim-Belhouari and Amine Bermak",
year = "2005",
doi = "10.1109/ISCAS.2005.1464986",
language = "English",
isbn = "9780780388345",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1911--1914",
booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005",
address = "United States",
note = "2005 IEEE International Symposium on Circuits and Systems, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",
}