{"id":"https://openalex.org/W2151796264","doi":"https://doi.org/10.1109/fuzzy.2008.4630408","title":"A weights-directly-determined simple neural network for nonlinear system identification","display_name":"A weights-directly-determined simple neural network for nonlinear system identification","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2151796264","doi":"https://doi.org/10.1109/fuzzy.2008.4630408","mag":"2151796264"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053064477","display_name":"Yunong Zhang","orcid":"https://orcid.org/0000-0002-2228-0395"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunong Zhang","raw_affiliation_strings":["The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101843238","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1353-9809"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Software, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998597","display_name":"Chenfu Yi","orcid":"https://orcid.org/0000-0003-0478-719X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenfu Yi","raw_affiliation_strings":["The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451984","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0001-9457-9364"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Chen","raw_affiliation_strings":["The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.0072,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.76375591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"47","issue":null,"first_page":"455","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T11236","display_name":"Control Systems and Identification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7059162855148315},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6977012157440186},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6419830322265625},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.620197594165802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176412105560303},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.45183736085891724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37392091751098633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3216753602027893},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.32015979290008545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22345995903015137},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07828423380851746}],"concepts":[{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7059162855148315},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6977012157440186},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6419830322265625},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.620197594165802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176412105560303},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.45183736085891724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37392091751098633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3216753602027893},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.32015979290008545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22345995903015137},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07828423380851746},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W135348450","https://openalex.org/W1971371074","https://openalex.org/W1976061125","https://openalex.org/W1979660814","https://openalex.org/W1984003679","https://openalex.org/W2006410600","https://openalex.org/W2007891230","https://openalex.org/W2063399099","https://openalex.org/W2093733173","https://openalex.org/W2111072639","https://openalex.org/W2122040390","https://openalex.org/W2129645442","https://openalex.org/W2129796157","https://openalex.org/W2130317597","https://openalex.org/W2133702739","https://openalex.org/W2153202134","https://openalex.org/W2165552175","https://openalex.org/W2614330988","https://openalex.org/W4210595706","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2009419637","https://openalex.org/W2382161936","https://openalex.org/W2804685512","https://openalex.org/W176335707","https://openalex.org/W2152282424","https://openalex.org/W2032383014","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2619807268","https://openalex.org/W2319800497"],"abstract_inverted_index":{"Based":[0],"on":[1],"polynomial":[2],"interpolation":[3],"and":[4,102],"approximation":[5],"theory,":[6],"a":[7,25,34,55,94],"special":[8],"feed-forward":[9,96],"neural":[10,22,56,97],"network":[11,57,98],"using":[12],"power":[13,38],"activation":[14,46],"functions":[15,39],"is":[16,76,90],"constructed":[17],"in":[18],"this":[19],"paper.":[20],"The":[21],"model":[23],"employs":[24],"three-layer":[26],"structure":[27],"with":[28],"the":[29,50,62,82,112],"hidden-layer":[30],"neurons":[31,43],"activated":[32],"by":[33],"group":[35],"of":[36,114],"order-increasing":[37],"(while":[40],"other":[41],"layers\u2019":[42],"use":[44],"linear":[45],"functions).":[47],"In":[48],"addition,":[49],"weights-updating":[51],"formula":[52],"for":[53,104],"such":[54,93],"could":[58,99],"be":[59],"derived":[60],"from":[61],"standard":[63],"BP":[64],"training":[65],"method.":[66,117],"A":[67],"pseudoinverse-based":[68],"method":[69],"(or":[70],"termed,":[71],"weights-direct-determination":[72,116],"/":[73],"one-step-weights-determination":[74],"method)":[75],"then":[77],"established":[78],"to":[79],"determine":[80],"immediately":[81],"neural-network":[83],"weights":[84],"without":[85],"lengthy":[86],"iterative":[87],"BP-training.":[88],"It":[89],"shown":[91],"that":[92],"power-activated":[95],"perform":[100],"effectively":[101],"efficiently":[103],"nonlinear":[105],"system":[106],"identification.":[107],"Computer-simulation":[108],"results":[109],"further":[110],"substantiate":[111],"benefits":[113],"its":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
