Abstract
This paper gives a description of an adaptive on-line diagnosis system for the detection of slow varying changes in dynamical systems using a fuzzy pattern recognition approach. This contribution is an extent ion of a previous paper (Boudaoud et al ., 1996), we have included in the diagnosis and supervision scheme a fusion moduleto combine the decisions of the different sources i.e. classes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
