{"id":"https://openalex.org/W2092920920","doi":"https://doi.org/10.1080/10798587.2000.10642833","title":"Identification of 2-D Discrete Systems Using Neural Network","display_name":"Identification of 2-D Discrete Systems Using Neural Network","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2092920920","doi":"https://doi.org/10.1080/10798587.2000.10642833","mag":"2092920920"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2000.10642833","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2000.10642833","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","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/A5101543640","display_name":"Dali Wang","orcid":"https://orcid.org/0000-0001-6806-5108"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dali Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042642296","display_name":"Ali Zilouchian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Zilouchian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101543640"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13928354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"8","issue":"4","first_page":"315","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9950000047683716,"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":0.9950000047683716,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9912999868392944,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9170366525650024},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.721377432346344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6002476215362549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705049395561218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3617236018180847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9170366525650024},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.721377432346344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6002476215362549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705049395561218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3617236018180847},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2000.10642833","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2000.10642833","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","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":4,"referenced_works":["https://openalex.org/W975680320","https://openalex.org/W1487631104","https://openalex.org/W1939409617","https://openalex.org/W2148652096"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W2386387936"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"Neural":[2],"Network":[3],"(NN)":[4],"architecture":[5],"is":[6],"proposed":[7,55,90],"for":[8],"identification":[9,56],"of":[10,38,74,88],"two-dimensional":[11],"(2-D)":[12],"recursive":[13],"digital":[14,76],"filters":[15,77],"in":[16,51],"spatial":[17],"domain":[18],"using":[19],"arbitrazy":[20],"inputs":[21],"and":[22],"their":[23],"corresponding":[24],"output":[25],"data.":[26],"The":[27,54],"method":[28],"utilizes":[29],"a":[30,39,62,71],"recurrent":[31],"neural":[32],"network":[33],"to":[34,61],"obtain":[35],"various":[36],"parameters":[37],"Local":[40],"State-Space":[41],"(LSS)":[42],"2-D":[43],"model":[44,67],"by":[45],"solving":[46],"the":[47,86,89],"nonlinear":[48],"optimization":[49],"problem":[50],"l2":[52],"norm.":[53],"technique":[57],"could":[58],"be":[59],"applied":[60],"general":[63],"2\u2013D":[64,75],"Roesser\u2019s":[65],"LSS":[66],"as":[68,70,79],"well":[69],"particular":[72],"class":[73],"such":[78],"separable-in-denominator":[80],"structure.":[81],"Simulation":[82],"results":[83],"indeed":[84],"demonstrate":[85],"effectiveness":[87],"methods.":[91]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}