UNSPECIFIED (1994) AN ARTIFICIAL NEURAL EMULATOR FOR AN ODOR SENSOR ARRAY. In: Eurosensors VII, SEP 26-29, 1993, BUDAPEST, HUNGARY.

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Abstract

In this paper we describe the development of a stand-alone microprocessor-based instrument which can classify intelligently the signals from an array of odour-sensitive sensors. Data from the odour sensor array are initially used to train a neural net on a PC using a software program and then sent down an RS-232C interface to the artificial neural emulator (ANE). The ANE uses multiplexer and ADC chips to condition the array output, followed by a Motorola 6803-based digital processing stage that contains in its RAM or ROM, an artificial neural architecture, neuronal weights and an operating instruction set. The processor computes the output of a neural network, classifies this against a knowledge base of odours and displays the result on a two-line LCD display. The ANE has also been fused with an array of four commercial gas sensors (Figaro Engineering Inc., Japan), a temperature IC and a capacitive humidity sensor to produce a stand-alone intelligent odour-sensing system.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QD Chemistry
Journal or Publication Title:	SENSORS AND ACTUATORS B-CHEMICAL
Publisher:	ELSEVIER SCIENCE SA LAUSANNE
ISSN:	0925-4005
Date:	April 1994
Volume:	19
Number:	1-3
Number of Pages:	4
Page Range:	pp. 661-664
Publication Status:	Published
Title of Event:	Eurosensors VII
Location of Event:	BUDAPEST, HUNGARY
Date(s) of Event:	SEP 26-29, 1993
URI:	http://wrap.warwick.ac.uk/id/eprint/20632

Data sourced from Thomson Reuters' Web of Knowledge

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