{"id":"https://openalex.org/W2162331081","doi":"https://doi.org/10.1145/1389095.1389337","title":"Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks","display_name":"Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2162331081","doi":"https://doi.org/10.1145/1389095.1389337","mag":"2162331081"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","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/A5067599928","display_name":"Antonio M. Mora","orcid":"https://orcid.org/0000-0003-1603-9105"},"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":true,"raw_author_name":"Antonio M. Mora Garc\u00eda","raw_affiliation_strings":["Universidad de Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033558251","display_name":"Pedro \u00c1. Castillo","orcid":"https://orcid.org/0000-0002-5258-0620"},"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":"Pedro A. Castillo Valdivieso","raw_affiliation_strings":["Universidad de Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063930069","display_name":"J. J. Merelo","orcid":"https://orcid.org/0000-0002-1385-9741"},"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":"Juan J. Merelo Guerv\u00f3s","raw_affiliation_strings":["Universidad de Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024571577","display_name":"Eva Cid","orcid":"https://orcid.org/0000-0002-9018-4629"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eva Alfaro Cid","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026427534","display_name":"Anna I. Esparcia-Alc\u00e1zar","orcid":"https://orcid.org/0000-0002-3855-4039"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anna I. Esparcia-Alc\u00e1zar","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111795992","display_name":"Ken Sharman","orcid":null},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ken Sharman","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067599928"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":2.8603,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91800562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4507","issue":null,"first_page":"1243","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9968000054359436,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7939635515213013},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.7635620832443237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744032621383667},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6720372438430786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6692096590995789},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6672261953353882},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6123472452163696},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6026577949523926},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.557918906211853},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.46633362770080566},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4212407171726227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3776816725730896}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7939635515213013},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.7635620832443237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744032621383667},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6720372438430786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6692096590995789},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6672261953353882},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6123472452163696},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6026577949523926},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.557918906211853},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.46633362770080566},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4212407171726227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3776816725730896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1389095.1389337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W202323902","https://openalex.org/W1485775445","https://openalex.org/W1496086081","https://openalex.org/W1505725418","https://openalex.org/W1510127986","https://openalex.org/W1538999627","https://openalex.org/W1550894544","https://openalex.org/W1554663460","https://openalex.org/W1566243085","https://openalex.org/W1603764766","https://openalex.org/W1679913846","https://openalex.org/W1769038400","https://openalex.org/W1941659294","https://openalex.org/W1990517717","https://openalex.org/W2004532359","https://openalex.org/W2020848494","https://openalex.org/W2024411603","https://openalex.org/W2025357764","https://openalex.org/W2027649639","https://openalex.org/W2033752463","https://openalex.org/W2057082825","https://openalex.org/W2075806125","https://openalex.org/W2100907527","https://openalex.org/W2101927907","https://openalex.org/W2108604074","https://openalex.org/W2124290836","https://openalex.org/W2127088021","https://openalex.org/W2150381039","https://openalex.org/W2164929187","https://openalex.org/W2244608660","https://openalex.org/W2254782558","https://openalex.org/W2999549716","https://openalex.org/W3032518901","https://openalex.org/W4232915836","https://openalex.org/W6633075811"],"related_works":["https://openalex.org/W2091246427","https://openalex.org/W2029013302","https://openalex.org/W2559572301","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W1589480767","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1523210215","https://openalex.org/W1560122427"],"abstract_inverted_index":{"In":[0,33,78,107],"this":[1,108],"work":[2,109],"we":[3,50,110],"compare":[4],"two":[5],"soft-computing":[6],"methods":[7],"for":[8,116],"producing":[9],"models":[10,38,53],"that":[11,39,70,131],"are":[12],"able":[13,99],"to":[14,21,35,43,86,100],"predict":[15],"whether":[16],"a":[17,56,66,75,81,128],"company":[18],"is":[19,65,71],"going":[20],"have":[22,96],"book":[23],"losses:":[24],"artificial":[25],"neural":[26,68],"networks":[27],"(ANNs)":[28],"and":[29,120],"genetic":[30],"programming":[31],"(GP).":[32],"order":[34],"build":[36],"prediction":[37,92],"can":[40],"be":[41],"applied":[42],"an":[44,137],"extensive":[45],"number":[46],"of":[47,59,90,114,125],"practical":[48],"cases,":[49],"need":[51],"simple":[52],"which":[54],"require":[55],"small":[57],"amount":[58],"data.":[60],"Kohonen's":[61],"self-organizing":[62],"map":[63],"(SOM)":[64],"non-supervised":[67],"network":[69],"usually":[72],"used":[73,85],"as":[74],"clustering":[76],"tool.":[77],"our":[79],"case":[80],"SOM":[82],"has":[83],"been":[84,97],"reduce":[87],"the":[88,91,112,121,133],"dimensions":[89],"problem.":[93],"Traditionally,":[94],"ANNs":[95],"considered":[98],"produce":[101],"better":[102],"classifier":[103],"structures":[104],"than":[105],"GP.":[106],"merge":[111],"capability":[113],"GP":[115],"generating":[117],"classification":[118,129],"trees":[119],"feature":[122],"extraction":[123],"abilities":[124],"SOM,":[126],"obtaining":[127],"tool":[130],"beats":[132],"results":[134],"yielded":[135],"using":[136],"evolutionary":[138],"ANN":[139],"method.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
