UNSPECIFIED (2002) Modelling of direction-dependent dynamic processes: A comparison of Wiener models and neural networks. In: 19th IEEE Instrumentation and Measurement Technology Conference (IMTC/2002), MAY 21-23, 2002, ANCHORAGE, AK.

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Abstract

The modelling of direction-dependent processes using Wiener and neural network models is compared for several different processes and for three different types of input signal - a pseudo-random binary signal (prbs), art inverse-repeat pseudo-random binary signal (irprbs) and a multisine (sum of harmonics) signal. Experimental results on an electronic nose are presented to illustrate the applicability of the techniques discussed.

Item Type:	Conference Item (UNSPECIFIED)
Series Name:	IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, PROCEEDINGS
Journal or Publication Title:	IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2
Publisher:	IEEE
ISBN:	0-7803-7218-2
ISSN:	1091-5281
Date:	2002
Number of Pages:	6
Page Range:	pp. 215-220
Publication Status:	Published
Title of Event:	19th IEEE Instrumentation and Measurement Technology Conference (IMTC/2002)
Location of Event:	ANCHORAGE, AK
Date(s) of Event:	MAY 21-23, 2002
URI:	http://wrap.warwick.ac.uk/id/eprint/10323

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