{"id":"https://openalex.org/W2964510579","doi":"https://doi.org/10.1109/access.2019.2933261","title":"Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems","display_name":"Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964510579","doi":"https://doi.org/10.1109/access.2019.2933261","mag":"2964510579"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2933261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08788533.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08788533.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076451998","display_name":"Mar\u00eda Jos\u00e9 Gacto","orcid":"https://orcid.org/0000-0001-9895-9647"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Maria Jose Gacto","raw_affiliation_strings":["Department of Computer Science, University of Ja\u00e9n, Ja\u00e9n, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ja\u00e9n, Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053868433","display_name":"J. M. Soto-Hidalgo","orcid":"https://orcid.org/0000-0003-4412-5449"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Manuel Soto-Hidalgo","raw_affiliation_strings":["Department of Electronics and Computer Engineering, University of C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, University of C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007045654","display_name":"Jes\u00fas Alcal\u00e1\u2010Fdez","orcid":"https://orcid.org/0000-0002-6190-3575"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Alcala-Fdez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064161587","display_name":"Rafael Alcal\u00e1","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Alcala","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076451998"],"corresponding_institution_ids":["https://openalex.org/I191420491"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8786,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89457067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"108916","last_page":"108939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935529708862305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6398584842681885},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6369619965553284},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5581520199775696},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5419446229934692},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5216165781021118},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5102124214172363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48972848057746887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4845966100692749},{"id":"https://openalex.org/keywords/multivariate-adaptive-regression-splines","display_name":"Multivariate adaptive regression splines","score":0.4604744017124176},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.4553634524345398},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43821412324905396},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41743892431259155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2003796100616455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1687816083431244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935529708862305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6398584842681885},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6369619965553284},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5581520199775696},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5419446229934692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5216165781021118},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5102124214172363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48972848057746887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4845966100692749},{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.4604744017124176},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4553634524345398},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43821412324905396},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41743892431259155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2003796100616455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1687816083431244}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2933261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08788533.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:digibug.ugr.es:10481/59425","is_oa":true,"landing_page_url":"http://hdl.handle.net/10481/59425","pdf_url":null,"source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"pmh:oai:doaj.org/article:129b8f5fc92448c085187731466c235d","is_oa":true,"landing_page_url":"https://doaj.org/article/129b8f5fc92448c085187731466c235d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 108916-108939 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2933261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08788533.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G417159858","display_name":null,"funder_award_id":"TIN2017-89517-P","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G6714725704","display_name":null,"funder_award_id":"PPG2019-UCOSOCIAL-03","funder_id":"https://openalex.org/F4320325299","funder_display_name":"Universidad de C\u00f3rdoba"}],"funders":[{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320325299","display_name":"Universidad de C\u00f3rdoba","ror":"https://ror.org/05yc77b46"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964510579.pdf","grobid_xml":"https://content.openalex.org/works/W2964510579.grobid-xml"},"referenced_works_count":107,"referenced_works":["https://openalex.org/W9145543","https://openalex.org/W28412257","https://openalex.org/W94571269","https://openalex.org/W176201993","https://openalex.org/W1481566577","https://openalex.org/W1499706286","https://openalex.org/W1513618424","https://openalex.org/W1514205146","https://openalex.org/W1522301498","https://openalex.org/W1531520279","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1573647811","https://openalex.org/W1594031697","https://openalex.org/W1630964756","https://openalex.org/W1678356000","https://openalex.org/W1679846099","https://openalex.org/W1689445748","https://openalex.org/W1969415786","https://openalex.org/W1974758710","https://openalex.org/W1976251851","https://openalex.org/W1989295284","https://openalex.org/W1993631132","https://openalex.org/W2003477935","https://openalex.org/W2009499611","https://openalex.org/W2022604714","https://openalex.org/W2026131661","https://openalex.org/W2035660096","https://openalex.org/W2050288270","https://openalex.org/W2054100651","https://openalex.org/W2055992413","https://openalex.org/W2056132907","https://openalex.org/W2063978378","https://openalex.org/W2070493638","https://openalex.org/W2081808304","https://openalex.org/W2091886411","https://openalex.org/W2100483895","https://openalex.org/W2101234009","https://openalex.org/W2102073628","https://openalex.org/W2102201073","https://openalex.org/W2111072639","https://openalex.org/W2113242816","https://openalex.org/W2117812871","https://openalex.org/W2118585731","https://openalex.org/W2119160928","https://openalex.org/W2121044470","https://openalex.org/W2121573754","https://openalex.org/W2122284941","https://openalex.org/W2123998733","https://openalex.org/W2125055259","https://openalex.org/W2125877832","https://openalex.org/W2133990480","https://openalex.org/W2139410361","https://openalex.org/W2140190241","https://openalex.org/W2153290280","https://openalex.org/W2162708633","https://openalex.org/W2165466912","https://openalex.org/W2165966284","https://openalex.org/W2171665309","https://openalex.org/W2182722412","https://openalex.org/W2468874071","https://openalex.org/W2507510427","https://openalex.org/W2548695521","https://openalex.org/W2608296545","https://openalex.org/W2616100520","https://openalex.org/W2623245231","https://openalex.org/W2764270061","https://openalex.org/W2768210308","https://openalex.org/W2787894218","https://openalex.org/W2894270933","https://openalex.org/W2911964244","https://openalex.org/W2914704764","https://openalex.org/W2921321912","https://openalex.org/W2998768810","https://openalex.org/W3009009611","https://openalex.org/W3017285694","https://openalex.org/W3103913776","https://openalex.org/W3120740533","https://openalex.org/W3141481736","https://openalex.org/W4206307172","https://openalex.org/W4211015534","https://openalex.org/W4212883601","https://openalex.org/W4229873072","https://openalex.org/W4232421753","https://openalex.org/W4243974393","https://openalex.org/W4244238212","https://openalex.org/W4244524772","https://openalex.org/W4249303080","https://openalex.org/W4254634827","https://openalex.org/W4294541781","https://openalex.org/W4301861531","https://openalex.org/W6603851545","https://openalex.org/W6607076485","https://openalex.org/W6631190155","https://openalex.org/W6634147026","https://openalex.org/W6651545628","https://openalex.org/W6675354045","https://openalex.org/W6675376746","https://openalex.org/W6677656871","https://openalex.org/W6678230397","https://openalex.org/W6680561749","https://openalex.org/W6683584131","https://openalex.org/W6684823039","https://openalex.org/W6684989136","https://openalex.org/W6736941266","https://openalex.org/W6786116714","https://openalex.org/W6816221340"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W3036649152","https://openalex.org/W3108206494","https://openalex.org/W2074089485","https://openalex.org/W2739726746","https://openalex.org/W4242380336","https://openalex.org/W4366990902","https://openalex.org/W4388550696","https://openalex.org/W1991715599","https://openalex.org/W4321636153"],"abstract_inverted_index":{"In":[0,239],"the":[1,30,40,47,54,171,179,194,198,210,223,227,231,241,248,251],"specialized":[2,81],"literature,":[3],"researchers":[4,23,82],"can":[5],"find":[6],"a":[7,43,182],"large":[8,44],"number":[9,45],"of":[10,42,46,53,173,243,250],"proposals":[11,28,86],"for":[12],"solving":[13],"regression":[14,49,76],"problems":[15,77],"that":[16,93,111,209],"come":[17,112],"from":[18,29,51,68,113,212],"different":[19,116],"research":[20],"areas.":[21],"However,":[22],"tend":[24],"to":[25,64,71,79,97,169,178],"use":[26,242],"only":[27],"area":[31],"in":[32,62,119,226,256],"which":[33],"they":[34],"are":[35],"experts.":[36],"This":[37],"paper":[38],"analyses":[39],"performance":[41,249],"available":[48,118],"algorithms":[50,92,110,195,211,252],"some":[52],"most":[55],"known":[56],"and":[57,78,90,146,156,196,204,217],"widely":[58],"used":[59],"software":[60,121],"tools":[61,122],"order":[63],"help":[65,80],"non-expert":[66],"users":[67],"other":[69,157],"areas":[70],"properly":[72,88],"solve":[73],"their":[74],"own":[75],"developing":[83],"well-founded":[84],"future":[85],"by":[87,185,230],"comparing":[89],"identifying":[91],"will":[94],"enable":[95],"them":[96],"focus":[98],"on":[99,197],"significant":[100],"further":[101],"developments.":[102],"To":[103],"sum":[104],"up,":[105],"we":[106],"have":[107],"analyzed":[108],"164":[109],"14":[114],"main":[115],"families":[117,221],"6":[120],"(Neural":[123],"Networks,":[124],"Support":[125,218],"Vector":[126,219],"Machines,":[127],"Regression":[128,152],"Trees,":[129],"Rule-Based":[130],"Methods,":[131],"Stacking,":[132],"Random":[133,213],"Forests,":[134],"Model":[135,215],"trees,":[136],"Generalized":[137],"Linear":[138],"Models,":[139],"Nearest":[140],"Neighbor":[141],"methods,":[142],"Partial":[143],"Least":[144],"Squares":[145],"Principal":[147],"Component":[148],"Regression,":[149],"Multivariate":[150],"Adaptive":[151],"Splines,":[153],"Bagging,":[154],"Boosting,":[155],"methods)":[158],"over":[159,192],"52":[160],"datasets.":[161],"A":[162],"new":[163],"measure":[164],"has":[165,188],"also":[166],"been":[167,189],"proposed":[168],"show":[170,208],"goodness":[172],"each":[174],"algorithm":[175],"with":[176,203],"respect":[177],"others.":[180],"Finally,":[181],"statistical":[183,232],"analysis":[184],"non-parametric":[186],"tests":[187,233],"carried":[190],"out":[191],"all":[193],"best":[199,224],"30":[200],"algorithms,":[201],"both":[202],"without":[205,253],"bagging.":[206],"Results":[207],"Forest,":[214],"Tree":[216],"Machine":[220],"get":[222],"positions":[225],"rankings":[228],"obtained":[229],"when":[234],"bagging":[235,244],"is":[236],"not":[237],"considered.":[238],"addition,":[240],"techniques":[245],"significantly":[246],"improves":[247],"excessive":[254],"increase":[255],"computational":[257],"times.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-08-13T00:00:00"}
