Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification

Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification

Abstract In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorith...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Tecciencia 2017-12, Vol.12 (23), p.33-42
Hauptverfasser: Ramos, Liz Angélica, Bustos Pinzón, Alex Francisco, Melgarejo R, Miguel A, Vargas Domínguez, Santiago
Format: Artikel
Sprache:eng ; por
Schlagworte:
ENGINEERING, MULTIDISCIPLINARY
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 42
container_issue 23
container_start_page 33
container_title Tecciencia
container_volume 12
creator Ramos, Liz Angélica
Bustos Pinzón, Alex Francisco
Melgarejo R, Miguel A
Vargas Domínguez, Santiago
description Abstract In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorithms, and the system will be tested in the particular case of dealing with the aim of classifying the solar flares.
doi_str_mv 10.18180/tecciencia.2017.23.5
format Article
fullrecord <record><control><sourceid>scielo</sourceid><recordid>TN_cdi_scielo_journals_S1909_36672017000200033</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><scielo_id>S1909_36672017000200033</scielo_id><sourcerecordid>S1909_36672017000200033</sourcerecordid><originalsourceid>FETCH-LOGICAL-s124t-4314683e1d9c12917c28bda07eecb972dbd1387b0ca3441d98836c12f8909d0d3</originalsourceid><addsrcrecordid>eNotkE1OwzAQhb0Aiar0CEi-QIL_iO1lFRGoVKmLlBWLyLGdYpTaKHaEmtPjAouZkZ7evNE3ADxgVGKBBXpMVmtnvXaqJAjzktDy6QassESyoFXF78AmRtcjQpiQWVyB92Zelgvc-cFOedHC9hKTPUd4nL3zJ_jt0gc8fCV3dotKLni4HU9hymr2DGGCbRjVBJvcbIT1qHL-4PSv9R7cDmqMdvM_1-CteT7Wr8X-8LKrt_siYsJSwShmlaAWG6kxkZhrInqjELdW95IT0xtMBe-RVpSx7BKCVtk5iExgkKFrUP7lxgw_hu4zzJPPB7v2Ct5dwa_fQAiRXJTSH-Y0WTU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification</title><source>EZB Electronic Journals Library</source><creator>Ramos, Liz Angélica ; Bustos Pinzón, Alex Francisco ; Melgarejo R, Miguel A ; Vargas Domínguez, Santiago</creator><creatorcontrib>Ramos, Liz Angélica ; Bustos Pinzón, Alex Francisco ; Melgarejo R, Miguel A ; Vargas Domínguez, Santiago</creatorcontrib><description>Abstract In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorithms, and the system will be tested in the particular case of dealing with the aim of classifying the solar flares.</description><identifier>ISSN: 1909-3667</identifier><identifier>DOI: 10.18180/tecciencia.2017.23.5</identifier><language>eng ; por</language><publisher>Universidad ECCI</publisher><subject>ENGINEERING, MULTIDISCIPLINARY</subject><ispartof>Tecciencia, 2017-12, Vol.12 (23), p.33-42</ispartof><rights>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids></links><search><creatorcontrib>Ramos, Liz Angélica</creatorcontrib><creatorcontrib>Bustos Pinzón, Alex Francisco</creatorcontrib><creatorcontrib>Melgarejo R, Miguel A</creatorcontrib><creatorcontrib>Vargas Domínguez, Santiago</creatorcontrib><title>Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification</title><title>Tecciencia</title><addtitle>Tecciencia</addtitle><description>Abstract In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorithms, and the system will be tested in the particular case of dealing with the aim of classifying the solar flares.</description><subject>ENGINEERING, MULTIDISCIPLINARY</subject><issn>1909-3667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNotkE1OwzAQhb0Aiar0CEi-QIL_iO1lFRGoVKmLlBWLyLGdYpTaKHaEmtPjAouZkZ7evNE3ADxgVGKBBXpMVmtnvXaqJAjzktDy6QassESyoFXF78AmRtcjQpiQWVyB92Zelgvc-cFOedHC9hKTPUd4nL3zJ_jt0gc8fCV3dotKLni4HU9hymr2DGGCbRjVBJvcbIT1qHL-4PSv9R7cDmqMdvM_1-CteT7Wr8X-8LKrt_siYsJSwShmlaAWG6kxkZhrInqjELdW95IT0xtMBe-RVpSx7BKCVtk5iExgkKFrUP7lxgw_hu4zzJPPB7v2Ct5dwa_fQAiRXJTSH-Y0WTU</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Ramos, Liz Angélica</creator><creator>Bustos Pinzón, Alex Francisco</creator><creator>Melgarejo R, Miguel A</creator><creator>Vargas Domínguez, Santiago</creator><general>Universidad ECCI</general><scope>GPN</scope></search><sort><creationdate>20171201</creationdate><title>Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification</title><author>Ramos, Liz Angélica ; Bustos Pinzón, Alex Francisco ; Melgarejo R, Miguel A ; Vargas Domínguez, Santiago</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-s124t-4314683e1d9c12917c28bda07eecb972dbd1387b0ca3441d98836c12f8909d0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; por</language><creationdate>2017</creationdate><topic>ENGINEERING, MULTIDISCIPLINARY</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramos, Liz Angélica</creatorcontrib><creatorcontrib>Bustos Pinzón, Alex Francisco</creatorcontrib><creatorcontrib>Melgarejo R, Miguel A</creatorcontrib><creatorcontrib>Vargas Domínguez, Santiago</creatorcontrib><collection>SciELO</collection><jtitle>Tecciencia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramos, Liz Angélica</au><au>Bustos Pinzón, Alex Francisco</au><au>Melgarejo R, Miguel A</au><au>Vargas Domínguez, Santiago</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification</atitle><jtitle>Tecciencia</jtitle><addtitle>Tecciencia</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>12</volume><issue>23</issue><spage>33</spage><epage>42</epage><pages>33-42</pages><issn>1909-3667</issn><abstract>Abstract In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorithms, and the system will be tested in the particular case of dealing with the aim of classifying the solar flares.</abstract><pub>Universidad ECCI</pub><doi>10.18180/tecciencia.2017.23.5</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1909-3667
ispartof Tecciencia, 2017-12, Vol.12 (23), p.33-42
issn 1909-3667
language eng ; por
recordid cdi_scielo_journals_S1909_36672017000200033
source EZB Electronic Journals Library
subjects ENGINEERING, MULTIDISCIPLINARY
title Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T14%3A18%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-scielo&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fuzzy%20Inference%20Systems%20Tuning%20with%20Optimization%20Algorithms%20for%20Solar%20Flares%20Classification&rft.jtitle=Tecciencia&rft.au=Ramos,%20Liz%20Ang%C3%A9lica&rft.date=2017-12-01&rft.volume=12&rft.issue=23&rft.spage=33&rft.epage=42&rft.pages=33-42&rft.issn=1909-3667&rft_id=info:doi/10.18180/tecciencia.2017.23.5&rft_dat=%3Cscielo%3ES1909_36672017000200033%3C/scielo%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_scielo_id=S1909_36672017000200033&rfr_iscdi=true