{"id":"https://openalex.org/W1648088760","doi":"https://doi.org/10.1109/ijcnn.2015.7280628","title":"A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast","display_name":"A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1648088760","doi":"https://doi.org/10.1109/ijcnn.2015.7280628","mag":"1648088760"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081964643","display_name":"Gracinda Carvalho","orcid":"https://orcid.org/0000-0003-4793-6917"},"institutions":[{"id":"https://openalex.org/I96294087","display_name":"Companhia Energ\u00e9tica de Minas Gerais (Brazil)","ror":"https://ror.org/02kbrsj34","country_code":"BR","type":"company","lineage":["https://openalex.org/I96294087"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"G.R. N. Carvalho","raw_affiliation_strings":["Computer Department-ENERGISA, Cataguases, MG, Brazil","Computer Department - ENERGISA, Cataguases, MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department-ENERGISA, Cataguases, MG, Brazil","institution_ids":["https://openalex.org/I96294087"]},{"raw_affiliation_string":"Computer Department - ENERGISA, Cataguases, MG, Brazil","institution_ids":["https://openalex.org/I96294087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091691173","display_name":"Diego Brand\u00e3o","orcid":"https://orcid.org/0000-0003-3874-784X"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"D.N. Brandao","raw_affiliation_strings":["Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil","[Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]},{"raw_affiliation_string":"[Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil]","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047733466","display_name":"Diego B. Haddad","orcid":"https://orcid.org/0000-0002-7634-5481"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"D.B. Haddad","raw_affiliation_strings":["Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil","[Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]},{"raw_affiliation_string":"[Centro Federal de Ensino Tecnologico-CEFET/RJ, Nova Iguacu, RJ, Brazil]","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052996091","display_name":"Vin\u00edcius Leal do Forte","orcid":"https://orcid.org/0000-0002-9584-717X"},"institutions":[{"id":"https://openalex.org/I161460629","display_name":"Universidade Federal Rural do Rio de Janeiro","ror":"https://ror.org/00xwgyp12","country_code":"BR","type":"education","lineage":["https://openalex.org/I161460629"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"V.L. do Forte","raw_affiliation_strings":["Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brazil","Universidade Federal Rural do Rio de Janeiro Serop\u00e9dica RJ Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brazil","institution_ids":["https://openalex.org/I161460629"]},{"raw_affiliation_string":"Universidade Federal Rural do Rio de Janeiro Serop\u00e9dica RJ Brazil","institution_ids":["https://openalex.org/I161460629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054360246","display_name":"Marcos Bacis Ceddia","orcid":"https://orcid.org/0000-0002-8611-314X"},"institutions":[{"id":"https://openalex.org/I161460629","display_name":"Universidade Federal Rural do Rio de Janeiro","ror":"https://ror.org/00xwgyp12","country_code":"BR","type":"education","lineage":["https://openalex.org/I161460629"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M.B. Ceddia","raw_affiliation_strings":["Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brazil","Universidade Federal Rural do Rio de Janeiro Serop\u00e9dica RJ Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Rio de Janeiro, Seropedica, RJ, Brazil","institution_ids":["https://openalex.org/I161460629"]},{"raw_affiliation_string":"Universidade Federal Rural do Rio de Janeiro Serop\u00e9dica RJ Brazil","institution_ids":["https://openalex.org/I161460629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/permanent-wilting-point","display_name":"Permanent wilting point","score":0.9855378866195679},{"id":"https://openalex.org/keywords/pedotransfer-function","display_name":"Pedotransfer function","score":0.7687835693359375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6289690732955933},{"id":"https://openalex.org/keywords/field-capacity","display_name":"Field capacity","score":0.6158678531646729},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.5776140093803406},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.5428327322006226},{"id":"https://openalex.org/keywords/bulk-density","display_name":"Bulk density","score":0.5399901866912842},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5178854465484619},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.43884438276290894},{"id":"https://openalex.org/keywords/soil-texture","display_name":"Soil texture","score":0.43570783734321594},{"id":"https://openalex.org/keywords/suction","display_name":"Suction","score":0.4240087866783142},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3733149766921997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3453747630119324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.308033287525177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28862354159355164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2775508165359497},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.25487610697746277},{"id":"https://openalex.org/keywords/hydraulic-conductivity","display_name":"Hydraulic conductivity","score":0.09471163153648376}],"concepts":[{"id":"https://openalex.org/C144144481","wikidata":"https://www.wikidata.org/wiki/Q742350","display_name":"Permanent wilting point","level":4,"score":0.9855378866195679},{"id":"https://openalex.org/C164285268","wikidata":"https://www.wikidata.org/wiki/Q7159349","display_name":"Pedotransfer function","level":4,"score":0.7687835693359375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6289690732955933},{"id":"https://openalex.org/C27934549","wikidata":"https://www.wikidata.org/wiki/Q1402691","display_name":"Field capacity","level":3,"score":0.6158678531646729},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.5776140093803406},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.5428327322006226},{"id":"https://openalex.org/C93973069","wikidata":"https://www.wikidata.org/wiki/Q899249","display_name":"Bulk density","level":3,"score":0.5399901866912842},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5178854465484619},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.43884438276290894},{"id":"https://openalex.org/C175963888","wikidata":"https://www.wikidata.org/wiki/Q5026010","display_name":"Soil texture","level":3,"score":0.43570783734321594},{"id":"https://openalex.org/C23795335","wikidata":"https://www.wikidata.org/wiki/Q1790295","display_name":"Suction","level":2,"score":0.4240087866783142},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3733149766921997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3453747630119324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.308033287525177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28862354159355164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2775508165359497},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.25487610697746277},{"id":"https://openalex.org/C63184880","wikidata":"https://www.wikidata.org/wiki/Q2783041","display_name":"Hydraulic conductivity","level":3,"score":0.09471163153648376},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1570713908","https://openalex.org/W2015219393","https://openalex.org/W2030078509","https://openalex.org/W2043864146","https://openalex.org/W2110865012","https://openalex.org/W2113442785","https://openalex.org/W2124776405","https://openalex.org/W2169571074","https://openalex.org/W4239240501","https://openalex.org/W4388297464","https://openalex.org/W6684787580"],"related_works":["https://openalex.org/W2567411883","https://openalex.org/W2274973941","https://openalex.org/W2609028545","https://openalex.org/W2187972939","https://openalex.org/W2465433093","https://openalex.org/W1512324605","https://openalex.org/W2078885008","https://openalex.org/W2038712286","https://openalex.org/W2280768927","https://openalex.org/W2118544387"],"abstract_inverted_index":{"The":[0,49,79,90,112],"purpose":[1],"of":[2,10,55,75,114,140,153],"this":[3],"paper":[4],"was":[5,53,82,119],"to":[6,23,93,116,122,130],"evaluate":[7],"the":[8,85,104,109,131,138,151],"performance":[9,102,113,129,152],"pedotransfer":[11],"functions":[12],"generated":[13,92],"by":[14],"Radial":[15,86],"Base":[16],"Function":[17],"(RBF)":[18],"Artificial":[19],"Neural":[20,124],"Network":[21],"(ANN)":[22],"estimate":[24],"soil":[25,56,61,77],"water":[26],"retention":[27],"at":[28,33,45],"field":[29],"capacity":[30],"(FC,":[31],"suction":[32],"-30":[34],"kPa)":[35,42],"and":[36,65,96,145],"Permanent":[37],"Wilting":[38],"Point":[39],"(PWP,":[40],"-1500":[41],"for":[43,98],"soils":[44],"PROJIR":[46,99],"area":[47],"-RJ/BR.":[48],"raw":[50],"data":[51,68,144],"used":[52],"type":[54],"horizon,":[57],"texture,":[58],"bulk":[59,142],"density,":[60],"organic":[62],"carbon":[63],"content":[64],"porosity.":[66],"These":[67],"were":[69],"taken":[70],"from":[71],"RURALDATA":[72],"database,":[73],"composed":[74],"218":[76],"profiles.":[78],"RBF":[80],"ANN":[81,91,115],"trained":[83],"through":[84],"Basis":[87],"Learning":[88],"algorithm.":[89],"predict":[94,117],"FC":[95],"PWP":[97,118],"present":[100,127],"better":[101],"than":[103,121],"other":[105],"approaches":[106],"presented":[107],"in":[108,136],"related":[110],"works.":[111],"higher":[120],"FC.":[123],"network":[125],"models":[126],"similar":[128],"previously":[132],"developed":[133],"regression-type":[134],"and,":[135],"general,":[137],"addition":[139],"porosity,":[141],"density":[143],"horizon":[146],"type,":[147],"did":[148],"not":[149],"improve":[150],"ANN.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
