{"id":"https://openalex.org/W98407815","doi":null,"title":"Fusion Artmap: A Neural Network Architecture for Multi-Channel Data Fusion and Classification","display_name":"Fusion Artmap: A Neural Network Architecture for Multi-Channel Data Fusion and Classification","publication_year":1993,"publication_date":"1993-01-01","ids":{"openalex":"https://openalex.org/W98407815","mag":"98407815"},"language":"en","primary_location":{"id":"pmh:oai:open.bu.edu:2144/1983","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2144/1983","pdf_url":null,"source":{"id":"https://openalex.org/S4306402384","display_name":"OpenBU (Boston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I111088046","host_organization_name":"Boston University","host_organization_lineage":["https://openalex.org/I111088046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Technical Report"},"volume":null,"type":"report","is_traditional":false,"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/A5042829342","display_name":"Yousif Raja Asfour","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousif Raja Asfour","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067230860","display_name":"Gail A. Carpenter","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gail A. Carpenter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080971897","display_name":"Stephen Grossberg","orcid":"https://orcid.org/0000-0002-2839-7914","observed_orcids":["https://orcid.org/0000-0002-2839-7914"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Grossberg","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2839-7914","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068434863","display_name":"Gregory W. Lesher","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregory W. Lesher","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.00019999999494757503,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artmap","display_name":"ARTMAP","score":0.625},{"id":"https://openalex.org/keywords/multi-channel-data-fusion","display_name":"multi-channel data fusion","score":0.8569999933242798},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.9419999718666077},{"id":"https://openalex.org/keywords/self-organizing-neural-networks","display_name":"self-organizing neural networks","score":0.8550000190734863},{"id":"https://openalex.org/keywords/fuzzy-art","display_name":"fuzzy ART","score":0.6240000128746033},{"id":"https://openalex.org/keywords/credit-assignment","display_name":"credit assignment","score":0.9869999885559082},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.6570000052452087},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"supervised learning","score":0.9739999771118164}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6288617849349976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403684973716736},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4833245277404785},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.4705638885498047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3767586052417755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37223106622695923},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3234769403934479},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.3225022554397583},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10250189900398254},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:open.bu.edu:2144/1983","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2144/1983","pdf_url":null,"source":{"id":"https://openalex.org/S4306402384","display_name":"OpenBU (Boston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I111088046","host_organization_name":"Boston University","host_organization_lineage":["https://openalex.org/I111088046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Technical Report"},{"id":"mag:98407815","doi":null,"is_oa":false,"landing_page_url":"https://open.bu.edu/bitstream/2144/1983/1/93.006.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2015857587","https://openalex.org/W2144219012","https://openalex.org/W2166280719"],"related_works":["https://openalex.org/W1938450954","https://openalex.org/W2270837987","https://openalex.org/W850606610","https://openalex.org/W2138014578","https://openalex.org/W2995836539","https://openalex.org/W7098482706","https://openalex.org/W2671247510","https://openalex.org/W2023760700","https://openalex.org/W2603532793","https://openalex.org/W7097200845"],"abstract_inverted_index":{"Fusion":[0,15,154],"ARTMAP":[1,16,29],"is":[2,17,109,141,158],"a":[3,36,51,55,65,79,90,94,142,149],"self-organizing":[4],"neural":[5],"network":[6,34],"architecture":[7],"for":[8],"multi-channel,":[9],"or":[10,54,131],"multi-sensor,":[11],"data":[12,52],"fusion.":[13],"Single-channel":[14],"functionally":[18],"equivalent":[19],"to":[20,27,47,58,78],"Fuzzy":[21,28],"ART":[22,62,81,105],"during":[23,30],"unsupervised":[24],"learning":[25],"and":[26],"supervised":[31],"learning.":[32],"The":[33],"has":[35],"symmetric":[37],"organization":[38],"such":[39],"that":[40,83,121,147],"each":[41,70],"channel":[42],"can":[43],"be":[44],"dynamically":[45],"configured":[46],"serve":[48],"as":[49],"either":[50],"input":[53,57],"teaching":[56],"the":[59,85,124,128,163],"system.":[60],"An":[61],"module":[63],"forms":[64],"compressed":[66],"recognition":[67,87,125],"code":[68,126],"within":[69],"channel.":[71],"These":[72],"codes,":[73],"in":[74,103,111],"turn,":[75],"become":[76],"inputs":[77],"single":[80],"system":[82],"organizes":[84],"global":[86],"code.":[88],"When":[89],"predictive":[91,133],"error":[92],"occurs,":[93],"process":[95,140],"called":[96],"paraellel":[97],"match":[98,116],"tracking":[99,117],"simultaneously":[100],"raises":[101],"vigilances":[102],"multiple":[104],"modules":[106],"until":[107],"reset":[108,139],"triggered":[110],"one":[112],"of":[113,123,144,162],"them.":[114],"Parallel":[115],"hereby":[118],"resets":[119],"only":[120],"portion":[122],"with":[127],"poorest":[129],"match,":[130],"minimum":[132],"confidence.":[134],"This":[135],"internally":[136],"controlled":[137],"selective":[138],"type":[143],"credit":[145],"assignment":[146],"creates":[148],"parsimoniously":[150],"connected":[151],"learned":[152],"network.":[153],"ARTMAP's":[155],"multi-channel":[156],"coding":[157],"illustrated":[159],"by":[160],"simulations":[161],"Quadruped":[164],"Mammal":[165],"database.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
