{"id":"https://openalex.org/W9413608","doi":"https://doi.org/10.1016/s0933-3657(97)00032-8","title":"An explanation component for a connectionist inference system","display_name":"An explanation component for a connectionist inference system","publication_year":1990,"publication_date":"1990-01-01","ids":{"openalex":"https://openalex.org/W9413608","doi":"https://doi.org/10.1016/s0933-3657(97)00032-8","mag":"9413608"},"language":"en","primary_location":{"id":"mag:9413608","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ecai/ecai90.html#Diederich90","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Artificial Intelligence","raw_type":null},"type":"article","indexed_in":[],"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/A5109007162","display_name":"Joachim Diederich","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joachim Diederich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5109007162"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"3","first_page":"222","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.28290000557899475,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.28290000557899475,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7518949508666992},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.7338632941246033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731819748878479},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6601663827896118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156111121177673},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.40742596983909607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3568841218948364},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23739564418792725},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12313634157180786}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7518949508666992},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.7338632941246033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731819748878479},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6601663827896118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156111121177673},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.40742596983909607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3568841218948364},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23739564418792725},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12313634157180786},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"mag:9413608","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ecai/ecai90.html#Diederich90","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Artificial Intelligence","raw_type":null},{"id":"pmh:oai:fraunhofer.de:N-40262","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-40262.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer GMD","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/317205","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/317205","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2926315328","https://openalex.org/W143164732","https://openalex.org/W1502000184","https://openalex.org/W3176176407","https://openalex.org/W1267254380","https://openalex.org/W2971150631","https://openalex.org/W60540900","https://openalex.org/W2521641481","https://openalex.org/W2487470317","https://openalex.org/W2004936681","https://openalex.org/W2492545554","https://openalex.org/W2514915058","https://openalex.org/W2905199530","https://openalex.org/W2092392760","https://openalex.org/W2024963143","https://openalex.org/W2148397907","https://openalex.org/W2163175547","https://openalex.org/W2498775104","https://openalex.org/W2185830236","https://openalex.org/W60533568"],"abstract_inverted_index":{"This":[0],"paper":[1],"concerns":[2],"the":[3,33,46,78,85,93,96,102,106,110],"classification":[4,86,103],"analysis":[5],"of":[6,28,32,95,105,112],"exercise-induced":[7],"lower":[8],"leg":[9],"pain":[10],"by":[11,66],"applying":[12],"competitive":[13],"neural":[14,71,97],"network":[15],"clustering":[16,98],"and":[17,23,39,44,69,82,114],"mapping":[18],"techniques":[19],"to":[20,76],"type":[21,24],"1":[22],"2":[25],"fuzzy":[26],"descriptions":[27],"bone":[29],"scan":[30],"images":[31,81,108],"tibia.":[34],"The":[35,57,88],"clusters":[36,59],"are":[37],"described":[38],"compared":[40],"with":[41,45],"each":[42],"other":[43],"experts":[47],"known":[48],"classes":[49],"that":[50,92],"would":[51],"be":[52],"expected":[53],"from":[54],"medical":[55],"findings.":[56],"discovered":[58],"provide":[60],"training":[61],"sets":[62],"for":[63],"supervised":[64],"learning":[65],"an":[67],"ARTMAP":[68],"similar":[70],"network.":[72],"These":[73],"were":[74],"used":[75],"classify":[77],"previously":[79],"unclassified":[80],"hence":[83],"improve":[84],"process.":[87],"overall":[89],"conclusion":[90],"is":[91],"use":[94],"methods":[99],"has":[100],"improved":[101],"process":[104],"shin":[107],"despite":[109],"paucity":[111],"data":[113],"its":[115],"inherent":[116],"uncertainty.":[117]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}
