A fuzzy Petri net for pattern recognition: application to dynamic classes
type: Item
instance of: scholarly article
title: A fuzzy Petri net for pattern recognition: application to dynamic classes
zbMATH Open document ID: 0991.68631
author: Veyis Gunes
author: Pierre Loonis
author: Michel Menard
published in: Knowledge and Information Systems
publication date: 2002-07-25T00:00:00Z
review text: When involving evolutionary natural objects, the odeling of dynamic lasses is the main issue for a pattern recognition system. This problem an be avoided by making dynamic the system of pattern recognition which an then enter into various states according to the evolution of the lasses. We propose a dynamic recognition system founded on two types of learning. The static aspect of the learning is ensured by lassifiers or systems of lassifiers, while the dynamic aspect is translated by the learning of the planning of the various states by a fuzzy Petri net. The method is sucessfully applied to a synthetic data set.
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1771469
zbMATH Keywords: Fuzzy Petri net
zbMATH Keywords: Dynamic knowledge representation
zbMATH Keywords: Pattern recognition
MaRDI profile type: Publication
full work available at URL: s10115-002-8196-3
OpenAlex ID: W2046740735
DOI: 10.1007/S10115-002-8196-3
description: scientific article; zbMATH DE number 1771469