A Generalized Functional Network for a Classifier-Quantifiers Scheme in a Gas-Sensing System
Article first published online: 24 JUN 2013
© 2013 Wiley Periodicals, Inc.
International Journal of Intelligent Systems
Volume 28, Issue 10, pages 988–1009, October 2013
How to Cite
Gaeta, M., Loia, V. and Tomasiello, S. (2013), A Generalized Functional Network for a Classifier-Quantifiers Scheme in a Gas-Sensing System. Int. J. Intell. Syst., 28: 988–1009. doi: 10.1002/int.21613
- Issue published online: 1 AUG 2013
- Article first published online: 24 JUN 2013
- MiSE (Italian Ministry of Economic Development)
- Sensational - fabrics integrated with gas nanosensors for personal protective equipement production. Grant Number: MI 01–00070
This paper discusses a new computational scheme based on functional networks and applies it to the problem of classification and quantification of gas species in a mixture. A generalized functional network as a new classifier is proposed to improve the potentialities of the standard functional network classifier. Both methodology and learning algorithm are derived. The performance of this new classifier is examined by using experimental applications. A comparative study with the most common classification algorithms is carried out by showing the high-quality performance of the proposed classifier. The classifier interacts with some quantifiers, again based on functional networks and finite differences. The scheme of the quantifiers was previously proposed for single gas exposure applications and is here extended to the multigas case. Numerical results show that our approach behaves quite satisfactorily.