{"id":"https://openalex.org/W2803199219","doi":"https://doi.org/10.3233/aic-180767","title":"INNAMP: An incremental neural network architecture with monitor perceptron","display_name":"INNAMP: An incremental neural network architecture with monitor perceptron","publication_year":2018,"publication_date":"2018-05-15","ids":{"openalex":"https://openalex.org/W2803199219","doi":"https://doi.org/10.3233/aic-180767","mag":"2803199219"},"language":"en","primary_location":{"id":"doi:10.3233/aic-180767","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-180767","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-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/A5052338597","display_name":"Sharad Gupta","orcid":"https://orcid.org/0000-0002-0895-9801"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sharad Gupta","raw_affiliation_strings":["Information Technology Department, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Allahabad, India. E-mail:\u00a0rs157@iiita.ac.in"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Department, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Allahabad, India. E-mail:\u00a0rs157@iiita.ac.in","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110006428","display_name":"Sudip Sanyal","orcid":null},"institutions":[{"id":"https://openalex.org/I1323093577","display_name":"BML Munjal University","ror":"https://ror.org/058ay3j75","country_code":"IN","type":"education","lineage":["https://openalex.org/I1323093577"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudip Sanyal","raw_affiliation_strings":["Computer Science and Engineering, BML Munjal University, Gurgaon, Haryana, India. E-mail:\u00a0sudip.sanyal@bml.edu.in"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, BML Munjal University, Gurgaon, Haryana, India. E-mail:\u00a0sudip.sanyal@bml.edu.in","institution_ids":["https://openalex.org/I1323093577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052338597"],"corresponding_institution_ids":["https://openalex.org/I26072440"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05716066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"4","first_page":"339","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9058244824409485},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6405684351921082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763289332389832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5430391430854797},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4642188549041748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3833966553211212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9058244824409485},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6405684351921082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763289332389832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5430391430854797},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4642188549041748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3833966553211212},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/aic-180767","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-180767","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W34738725","https://openalex.org/W111224653","https://openalex.org/W1531857721","https://openalex.org/W1554485105","https://openalex.org/W1564282986","https://openalex.org/W1676567345","https://openalex.org/W1749276991","https://openalex.org/W1871505182","https://openalex.org/W1964168965","https://openalex.org/W1974393089","https://openalex.org/W1974698372","https://openalex.org/W1990863955","https://openalex.org/W2015857587","https://openalex.org/W2023296546","https://openalex.org/W2038994994","https://openalex.org/W2043798298","https://openalex.org/W2048204435","https://openalex.org/W2055221285","https://openalex.org/W2061761368","https://openalex.org/W2062077269","https://openalex.org/W2064774462","https://openalex.org/W2075807321","https://openalex.org/W2078590217","https://openalex.org/W2096361630","https://openalex.org/W2103753221","https://openalex.org/W2109779438","https://openalex.org/W2110632824","https://openalex.org/W2122040390","https://openalex.org/W2128033389","https://openalex.org/W2147957764","https://openalex.org/W2148973081","https://openalex.org/W2159110831","https://openalex.org/W2166280719","https://openalex.org/W2171409354","https://openalex.org/W2260954166","https://openalex.org/W2507473973","https://openalex.org/W2520328485","https://openalex.org/W2609002182","https://openalex.org/W6604561957"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,29,34,62,84],"new":[4,30,35,63,73],"architecture":[5,18],"for":[6,91],"supervised":[7],"incremental":[8],"learning":[9],"using":[10,108,126],"neural":[11,88],"networks.":[12],"The":[13,80,112,132],"key":[14],"feature":[15],"of":[16,40,86,104,129,136,145,147],"this":[17],"is":[19,56,68,75,83,96,138],"special":[21],"perceptron,":[22,25],"called":[23],"monitor":[24,54,100],"which":[26],"decides":[27],"whether":[28],"sample":[31,59],"belongs":[32,60],"to":[33,38,61,142],"class":[36,64,74],"or":[37,121],"one":[39],"the":[41,50,53,58,66,72,78,99,143],"known":[42],"(already":[43],"learnt)":[44],"classes.":[45,148],"In":[46],"ca":[47],"se":[48],"if":[49],"decision":[51],"by":[52,77],"perceptron":[55],"that":[57,71],"then":[65],"network":[67,82],"extended":[69],"such":[70],"learnt":[76],"network.":[79],"final":[81],"set":[85],"parallel":[87],"networks":[89],"(one":[90],"each":[92],"class)":[93],"whose":[94],"output":[95],"fed":[97],"into":[98],"perceptron.":[101],"A":[102],"series":[103],"experiments":[105,117],"are":[106,118],"performed":[107],"benchmark":[109],"data":[110],"sets.":[111],"results":[113],"obtained":[114,125],"in":[115,134],"these":[116],"comparable":[119],"with":[120,140],"better":[122],"than":[123],"those":[124],"other,":[127],"state":[128],"art,":[130],"techniques.":[131],"growth":[133,144],"number":[135,146],"neurons":[137],"linear":[139],"respect":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}