By Topic

A cellular neural networks approach to flame image analysis for combustion monitoring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bertucco, L. ; Dipt. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy ; Fichera, A. ; Nunnari, G. ; Pagano, A.

Proposes an approach based on cellular neural networks (CNNs) to the analysis of flame images for real time monitoring of combustion process in a waste incinerator. The use of CNNs analysis is dictated by the high images sampling rate, which was necessary due to the fast dynamics of the process under study. The dynamical behavior of the descriptors of the images processed by the CNNs was also studied and the results of this analysis are also presented

Published in:

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Date of Conference: