Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10410410 | Sensors and Actuators B: Chemical | 2005 | 6 Pages |
Abstract
The learning set is composed of 60 sensor reactions for six types of cologne. The neural network correctly classifies 82-86% of independent examples. The usage of the maximum filter with a small window size allows an increase of the classification rate by 3-5%. The best results (86%) are obtained when only first 50 measurements of sensor reaction are used.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
A.M. Reznik, A.A. Galinskaya, O.K. Dekhtyarenko, D.W. Nowicki,