Neural Networks in Dynamic Process Analysis
Identifieur interne : 003541 ( Hal/Curation ); précédent : 003540; suivant : 003542Neural Networks in Dynamic Process Analysis
Auteurs : Georges Schutz [France] ; Frédéric Alexandre [France] ; Serge GilléSource :
Descripteurs français
- mix :
- analyse de signaux, artificial neural networks, artificiels, cartes auto-organisatrices, classification, clustering, codage de signaux, diagnostic de processus, pattern recognition, process diagnosis, reconnaissance de formes, réseaux de neurones, self-organising maps, signal analysis, signal encoding, série temporelle, time series.
Abstract
This article presents a study performed within the framework of an industrial research project subsidised by the ECSC. Methods of signal encoding and analysis based on the dynamic evolution of signals coming from an industrial process are presented. They are based on self-organising maps of Kohonen, a well known neural network family for clustering. The main advantage of this approach is that the basic components used for the encoding are based on a learning algorithm, thus the encoding is well adapted to the analysed signals. An other advantage is the extensibility of the presented method to multi-variable analysis. First results are shown.
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Methods of signal encoding and analysis based on the dynamic evolution of signals coming from an industrial process are presented. They are based on self-organising maps of Kohonen, a well known neural network family for clustering. The main advantage of this approach is that the basic components used for the encoding are based on a learning algorithm, thus the encoding is well adapted to the analysed signals. An other advantage is the extensibility of the presented method to multi-variable analysis. First results are shown.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Neural Networks in Dynamic Process Analysis</title><author role="aut"><persName><forename type="first">Georges</forename><surname>Schutz</surname></persName><email>georges.schutz@loria.fr</email><idno type="halauthor">131915</idno><orgName ref="#struct-365142"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idhal">frederic-alexandre</idno><idno type="halauthor">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Serge</forename><surname>Gillé</surname></persName><email></email><idno type="halauthor">131916</idno><orgName ref="#struct-365143"></orgName></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 14:48:42</date><date type="whenModified">2016-05-19 01:09:07</date><date type="whenReleased">2006-09-28 15:22:47</date><date type="whenProduced">2001</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00100657</idno><idno type="halUri">https://hal.inria.fr/inria-00100657</idno><idno type="halBibtex">schutz:inria-00100657</idno><idno type="halRefHtml">IAR (german-french Institute for Automation and Robotics. 16th IAR - Annual Meeting - IAR/ICD Workshop, 2001, Strasbourg, France, pp.105-110, 2001</idno><idno type="halRef">IAR (german-french Institute for Automation and Robotics. 16th IAR - Annual Meeting - IAR/ICD Workshop, 2001, Strasbourg, France, pp.105-110, 2001</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="commentary">Colloque avec actes et comité de lecture. internationale.</note><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Neural Networks in Dynamic Process Analysis</title><author role="aut"><persName><forename type="first">Georges</forename><surname>Schutz</surname></persName><email>georges.schutz@loria.fr</email><idno type="halAuthorId">131915</idno><orgName ref="#struct-365142"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idHal">frederic-alexandre</idno><idno type="halAuthorId">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Serge</forename><surname>Gillé</surname></persName><idno type="halAuthorId">131916</idno><orgName ref="#struct-365143"></orgName></author></analytic><monogr><idno type="localRef">A01-R-395 || schutz01a</idno><meeting><title>16th IAR - Annual Meeting - IAR/ICD Workshop</title><date type="start">2001</date><settlement>Strasbourg, France</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>ENSPS (Ecole Nationale Supérieure de Physique de Strasbourg / ULP (Université Louis Pasteur Strasbourg)</name></respStmt><editor>IAR (german-french Institute for Automation and Robotics</editor><imprint><biblScope unit="pp">105-110</biblScope><date type="datePub">2001</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">process diagnosis</term><term xml:lang="fr">artificial neural networks</term><term xml:lang="fr">clustering</term><term xml:lang="fr">self-organising maps</term><term xml:lang="fr">pattern recognition</term><term xml:lang="fr">time series</term><term xml:lang="fr">signal analysis</term><term xml:lang="fr">signal encoding</term><term xml:lang="fr">artificiels</term><term xml:lang="fr">classification</term><term xml:lang="fr">cartes auto-organisatrices</term><term xml:lang="fr">reconnaissance de formes</term><term xml:lang="fr">série temporelle</term><term xml:lang="fr">analyse de signaux</term><term xml:lang="fr">codage de signaux</term><term xml:lang="fr">diagnostic de processus</term><term xml:lang="fr">réseaux de neurones</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">This article presents a study performed within the framework of an industrial research project subsidised by the ECSC. Methods of signal encoding and analysis based on the dynamic evolution of signals coming from an industrial process are presented. They are based on self-organising maps of Kohonen, a well known neural network family for clustering. The main advantage of this approach is that the basic components used for the encoding are based on a learning algorithm, thus the encoding is well adapted to the analysed signals. An other advantage is the extensibility of the presented method to multi-variable analysis. First results are shown.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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