{"id":"https://openalex.org/W2132182662","doi":"https://doi.org/10.1109/ijcnn.2003.1223813","title":"Implicit de-noising in hybrid recurrent nets for meta knowledge abduction","display_name":"Implicit de-noising in hybrid recurrent nets for meta knowledge abduction","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2132182662","doi":"https://doi.org/10.1109/ijcnn.2003.1223813","mag":"2132182662"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5071069504","display_name":"David Al-Dabass","orcid":null},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"D. Al-Dabass","raw_affiliation_strings":["School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050075410","display_name":"David Evans","orcid":"https://orcid.org/0009-0002-2834-6700"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D. Evans","raw_affiliation_strings":["School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006121451","display_name":"S. Sivayoganathan","orcid":null},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Sivayoganathan","raw_affiliation_strings":["School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing & Mathematics, Nottingham Trent University, Nottingham, UK","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071069504"],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13064206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"919","last_page":"923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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":0.9894999861717224,"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/robustness","display_name":"Robustness (evolution)","score":0.729690432548523},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7017934918403625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5876417756080627},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5557964444160461},{"id":"https://openalex.org/keywords/casual","display_name":"Casual","score":0.48480430245399475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4721904993057251},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45093122124671936},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.44449272751808167},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4389045238494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41098228096961975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3241679072380066},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.13683927059173584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12030014395713806},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07980373501777649}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.729690432548523},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7017934918403625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876417756080627},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5557964444160461},{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.48480430245399475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4721904993057251},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45093122124671936},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.44449272751808167},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4389045238494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41098228096961975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3241679072380066},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.13683927059173584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12030014395713806},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07980373501777649},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:irep.ntu.ac.uk:13516","is_oa":false,"landing_page_url":"http://irep.ntu.ac.uk/id/eprint/13516/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W643973177","https://openalex.org/W2059632291","https://openalex.org/W2105869721","https://openalex.org/W2115844704","https://openalex.org/W2800346540","https://openalex.org/W6677416413","https://openalex.org/W6986143304"],"related_works":["https://openalex.org/W1005754617","https://openalex.org/W2979523788","https://openalex.org/W756683672","https://openalex.org/W2014044877","https://openalex.org/W2490317329","https://openalex.org/W3141514971","https://openalex.org/W1673318806","https://openalex.org/W2166929399","https://openalex.org/W3124834840","https://openalex.org/W3215211012"],"abstract_inverted_index":{"Several":[0],"financial,":[1],"physical":[2],"and":[3,9,43,119],"biological":[4],"phenomena":[5],"exhibit":[6],"random":[7,107,113],"oscillatory":[8],"cyclic":[10],"behaviour":[11,27,42,102],"generated":[12],"by":[13,68],"a":[14],"set":[15,67],"of":[16,40,50,77,91,127,134],"casual":[17,52],"parameters":[18,53],"referred":[19],"to":[20,35,46,75,121,137,156],"as":[21],"meta":[22,79],"knowledge":[23,80],"(M-K).":[24],"Given":[25],"these":[26,45],"time":[28,38],"trajectories,":[29],"recurrent":[30,58],"hybrid":[31,59],"nets":[32,60],"are":[33,104],"used":[34,61],"determine":[36],"the":[37,41,48,51,69,95,101,122,128,135,140],"derivatives":[39],"using":[44,87,112],"abduct":[47],"values":[49],"in":[54,84],"real":[55],"time.":[56],"The":[57,89],"possess":[62],"de-noising":[63],"properties":[64],"which":[65],"can":[66],"designer.":[70],"This":[71],"paper":[72],"investigates":[73],"sensitivity":[74,155],"noise":[76,93,141],"3":[78],"abduction":[81],"algorithms":[82,136],"developed":[83],"earlier":[85],"papers":[86],"simulation.":[88],"effect":[90],"measurement":[92],"on":[94],"estimation":[96],"accuracy":[97],"is":[98,110],"considered":[99],"when":[100],"trajectories":[103],"corrupted":[105],"with":[106,116,139],"noise.":[108,157],"Noise":[109],"simulated":[111,123],"number":[114],"generator":[115],"zero":[117],"mean":[118],"added":[120],"system":[124],"behaviour.":[125],"Analysis":[126],"simulation":[129],"results":[130],"show":[131],"varying":[132],"abilities":[133],"cope":[138],"perturbations.":[142],"In":[143],"some":[144],"instances":[145],"high":[146,154],"prediction":[147],"robustness":[148],"were":[149],"achieved,":[150],"other":[151],"simulations":[152],"showed":[153]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}