{"id":"https://openalex.org/W2032289476","doi":"https://doi.org/10.1109/ijcnn.1990.137642","title":"Neural units recruitment algorithm for generation of decision trees","display_name":"Neural units recruitment algorithm for generation of decision trees","publication_year":1990,"publication_date":"1990-01-01","ids":{"openalex":"https://openalex.org/W2032289476","doi":"https://doi.org/10.1109/ijcnn.1990.137642","mag":"2032289476"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.1990.137642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","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/A5024100899","display_name":"Guillaume Deffuant","orcid":"https://orcid.org/0000-0001-6265-9300"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"G. Deffuant","raw_affiliation_strings":["Visual neuro-science Department, Universite de Paris 6, Paris, France"],"affiliations":[{"raw_affiliation_string":"Visual neuro-science Department, Universite de Paris 6, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024100899"],"corresponding_institution_ids":["https://openalex.org/I204730241","https://openalex.org/I39804081"],"apc_list":null,"apc_paid":null,"fwci":0.5189,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72662283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"642 vol. 1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7070512175559998},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6791630983352661},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.618310809135437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990057587623596},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5690889954566956},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5491065979003906},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.528023898601532},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5218124389648438},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4914969205856323},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4883846640586853},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4803296625614166},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4685654938220978},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.43406134843826294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39807596802711487},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.38530147075653076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2293568253517151},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.13357767462730408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070512175559998},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6791630983352661},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.618310809135437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990057587623596},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5690889954566956},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5491065979003906},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.528023898601532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5218124389648438},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4914969205856323},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4883846640586853},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4803296625614166},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4685654938220978},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.43406134843826294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39807596802711487},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.38530147075653076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2293568253517151},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.13357767462730408},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.1990.137642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W128754594","https://openalex.org/W1500401801","https://openalex.org/W1573772481","https://openalex.org/W2002628678","https://openalex.org/W2009784977","https://openalex.org/W2149706766","https://openalex.org/W2322002063","https://openalex.org/W2766736793","https://openalex.org/W3206773045","https://openalex.org/W4236137412","https://openalex.org/W6605241255","https://openalex.org/W6682610290","https://openalex.org/W6801833536"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2030894524","https://openalex.org/W1648970942","https://openalex.org/W2811372817","https://openalex.org/W2076543106","https://openalex.org/W2120748120","https://openalex.org/W2545418239","https://openalex.org/W2591672004","https://openalex.org/W4243803609","https://openalex.org/W4319437832"],"abstract_inverted_index":{"The":[0,17],"neural":[1,11],"units":[2,34],"recruitment":[3],"algorithms":[4,7],"(NEURAL)":[5],"are":[6,24,39,73],"mixing":[8],"techniques":[9],"from":[10],"networks":[12],"and":[13,19,41,77,96,122],"symbolic":[14],"machine":[15],"learning.":[16],"size":[18],"architecture":[20],"of":[21,50,80,91,112],"the":[22,28,48,57,67,70,81,110,113,117,120,123],"network":[23],"not":[25],"specified":[26],"before":[27],"learning":[29,58,103],"process.":[30],"Basic":[31],"cells":[32,72],"(perceptron":[33],"or":[35],"delta":[36],"rule":[37],"units)":[38],"recruited":[40],"organized":[42],"in":[43,75],"a":[44,51,104],"structure":[45,114],"similar":[46],"to":[47],"one":[49,63],"decision":[52],"tree":[53,68],"which":[54],"grows":[55],"during":[56],"process":[59],"(beginning":[60],"with":[61,93,116],"only":[62,108],"initial":[64,82],"cell).":[65],"As":[66],"grows,":[69],"leaf":[71],"specialized":[74],"smaller":[76,78],"parts":[79,111],"training":[83],"set.":[84],"Convergence":[85],"is":[86],"guaranteed":[87],"for":[88],"any":[89],"set":[90,107],"patterns,":[92],"real":[94],"inputs":[95],"Boolean":[97],"outputs.":[98],"Learning":[99],"can":[100],"be":[101],"incremental:":[102],"new":[105,124],"pattern":[106],"alters":[109],"concerned":[115],"differences":[118],"between":[119],"old":[121],"sets":[125]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}