{"id":"https://openalex.org/W2123254747","doi":"https://doi.org/10.1109/apccas.2002.1115332","title":"A two-level learning hierarchy for constructing incremental projection generalizing neural networks","display_name":"A two-level learning hierarchy for constructing incremental projection generalizing neural networks","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2123254747","doi":"https://doi.org/10.1109/apccas.2002.1115332","mag":"2123254747"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2002.1115332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2002.1115332","pdf_url":null,"source":{"id":"https://openalex.org/S4306417752","display_name":"Asia Pacific Conference on Circuits and Systems","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":"Asia-Pacific Conference on Circuits and Systems","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/A5052210284","display_name":"Hendri Murfi","orcid":"https://orcid.org/0000-0003-2722-5763"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"H. Murfi","raw_affiliation_strings":["Department of Mathematics, University of Indonesia, Indonesia","Dept. of Math., Univ. of Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Indonesia, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Dept. of Math., Univ. of Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026696563","display_name":"Benyamin Kusumoputro","orcid":"https://orcid.org/0000-0003-3714-0106"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"B. Kusumoputro","raw_affiliation_strings":["Computer Science, University of Indonesia, Indonesia","Department of Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Computer Science, University of Indonesia, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Department of Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052210284"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25324675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"541","last_page":"546"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9858999848365784,"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":0.9772999882698059,"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/generalization","display_name":"Generalization","score":0.7005149722099304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6681030988693237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643600344657898},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6036181449890137},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5882201194763184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609442591667175},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4539210796356201},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.4525167942047119},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.44916823506355286},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.42440080642700195},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.4221719205379486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3640925884246826},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.32090550661087036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.311872661113739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30131667852401733},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09595495462417603}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7005149722099304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6681030988693237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643600344657898},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6036181449890137},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5882201194763184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609442591667175},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4539210796356201},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.4525167942047119},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.44916823506355286},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.42440080642700195},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.4221719205379486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3640925884246826},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.32090550661087036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.311872661113739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30131667852401733},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09595495462417603},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2002.1115332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2002.1115332","pdf_url":null,"source":{"id":"https://openalex.org/S4306417752","display_name":"Asia Pacific Conference on Circuits and Systems","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":"Asia-Pacific Conference on Circuits and Systems","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":11,"referenced_works":["https://openalex.org/W1562251502","https://openalex.org/W1606224025","https://openalex.org/W1965198822","https://openalex.org/W1984049995","https://openalex.org/W2071867235","https://openalex.org/W2090651665","https://openalex.org/W2114865067","https://openalex.org/W2142402197","https://openalex.org/W4285719527","https://openalex.org/W6633721741","https://openalex.org/W6636335601"],"related_works":["https://openalex.org/W2373874059","https://openalex.org/W2524120878","https://openalex.org/W1538606284","https://openalex.org/W4385254110","https://openalex.org/W3094631814","https://openalex.org/W3206636855","https://openalex.org/W2109916967","https://openalex.org/W1772248428","https://openalex.org/W2123887195","https://openalex.org/W1678611306"],"abstract_inverted_index":{"One":[0],"of":[1,69,97,106],"the":[2,10,17,43,56,61,64,67,70,82,98],"incremental":[3,28,46],"learning-based":[4],"neural":[5,31,50],"networks":[6,51,86],"that":[7,22],"theoretically":[8],"guarantees":[9],"optimal":[11],"generalization":[12,19],"capability":[13,20],"and":[14],"provides":[15],"exactly":[16],"same":[18],"as":[21,95],"obtained":[23],"by":[24,88],"batch":[25],"learning":[26,39,48,65,90],"is":[27,53],"projection":[29,47],"generalizing":[30],"networks.":[32,44],"This":[33],"paper":[34],"will":[35,92],"describe":[36],"a":[37,78],"two-level":[38],"hierarchy":[40,91],"for":[41],"constructing":[42],"An":[45],"in":[49],"algorithm":[52,80],"employed":[54],"at":[55,81],"lower":[57],"level":[58],"to":[59,103],"construct":[60],"network":[62],"while":[63],"parameters,":[66],"orders":[68],"reproducing":[71],"kernel":[72],"Hilbert":[73],"space,":[74],"are":[75],"optimized":[76],"using":[77],"genetic":[79],"upper":[83],"level.":[84],"The":[85],"produced":[87],"this":[89],"be":[93],"used":[94],"subsystem":[96],"artificial":[99],"odor":[100],"discrimination":[101],"system":[102],"approximate":[104],"percentage":[105],"alcohol.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
