Neuro-Fuzzy Modeling Applied to GIS: a Case Study for Solar Radiation
Identifieur interne : 000378 ( Istex/Corpus ); précédent : 000377; suivant : 000379Neuro-Fuzzy Modeling Applied to GIS: a Case Study for Solar Radiation
Auteurs : Mercedes Valdés ; Juan A. Botía ; Antonio F. G Mez-SkarmetaSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: Soft computing can be a powerful approach in the agricultural domain, from two different and interesting perspectives. The first one is using this to obtain fuzzy models of the environment, in order to create an approximated theory to explain a set of observations which reect a concrete agricultural process. The second is the integration of neuro-fuzzy models in a Geographical Information System, in where spatial and temporal interpolation is a central issue. In this paper we present the use we have done of soft computing for both mentioned perspectives. In particular, here we model irrigation water needs for a concrete zone of Spain and show how the neuro-fuzzy model can be integrated inside a GIS in order to deploy such approximative power.
Url:
DOI: 10.1007/3-540-44869-1_51
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ISTEX:14882A5EF871890D35E69C2F7490793AB7E16E48Le document en format XML
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The first one is using this to obtain fuzzy models of the environment, in order to create an approximated theory to explain a set of observations which reect a concrete agricultural process. The second is the integration of neuro-fuzzy models in a Geographical Information System, in where spatial and temporal interpolation is a central issue. In this paper we present the use we have done of soft computing for both mentioned perspectives. In particular, here we model irrigation water needs for a concrete zone of Spain and show how the neuro-fuzzy model can be integrated inside a GIS in order to deploy such approximative power.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Neuro-Fuzzy Modeling Applied to GIS: a Case Study for Solar Radiation</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Neuro-Fuzzy Modeling Applied to GIS: a Case Study for Solar Radiation</title></titleInfo><name type="personal"><namePart type="given">Mercedes</namePart><namePart type="family">Valdés</namePart><affiliation>Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Campus de Espinardo, E-30071, Murcia, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Juan</namePart><namePart type="given">A.</namePart><namePart type="family">Botía</namePart><affiliation>Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Campus de Espinardo, E-30071, Murcia, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Antonio</namePart><namePart type="given">F.</namePart><namePart type="family">Gómez-Skarmeta</namePart><affiliation>Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Campus de Espinardo, E-30071, Murcia, Spain</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2003-06-18</dateIssued><copyrightDate encoding="w3cdtf">2003</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Soft computing can be a powerful approach in the agricultural domain, from two different and interesting perspectives. The first one is using this to obtain fuzzy models of the environment, in order to create an approximated theory to explain a set of observations which reect a concrete agricultural process. The second is the integration of neuro-fuzzy models in a Geographical Information System, in where spatial and temporal interpolation is a central issue. In this paper we present the use we have done of soft computing for both mentioned perspectives. In particular, here we model irrigation water needs for a concrete zone of Spain and show how the neuro-fuzzy model can be integrated inside a GIS in order to deploy such approximative power.</abstract><relatedItem type="host"><titleInfo><title>Artificial Neural Nets Problem Solving Methods</title><subTitle>7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3–6, 2003 Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">José</namePart><namePart type="family">Mira</namePart><affiliation>E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain</affiliation><affiliation>E-mail: jmira@dia.uned.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">José</namePart><namePart type="given">R.</namePart><namePart type="family">Álvarez</namePart><affiliation>E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain</affiliation><affiliation>E-mail: jras@dia.uned.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2003</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="L21001">Evolutionary Biology</topic></subject><identifier type="DOI">10.1007/3-540-44869-1</identifier><identifier type="ISBN">978-3-540-40211-4</identifier><identifier type="eISBN">978-3-540-44869-3</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">77287</identifier><identifier type="BookID">3-540-44869-1</identifier><identifier type="BookChapterCount">102</identifier><identifier type="BookVolumeNumber">2687</identifier><identifier type="BookSequenceNumber">2687</identifier><identifier type="PartChapterCount">14</identifier><part><date>2003</date><detail type="part"><title>Soft-Computing</title></detail><detail type="volume"><number>2687</number><caption>vol.</caption></detail><extent unit="pages"><start>401</start><end>408</end></extent></part><recordInfo><recordOrigin>Springer Berlin Heidelberg, 2003</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2003</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer Berlin Heidelberg, 2003</recordOrigin></recordInfo></relatedItem><identifier type="istex">14882A5EF871890D35E69C2F7490793AB7E16E48</identifier><identifier type="DOI">10.1007/3-540-44869-1_51</identifier><identifier type="ChapterID">51</identifier><identifier type="ChapterID">Chap51</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Berlin Heidelberg, 2003</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2003</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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