{"id":"https://openalex.org/W4399485331","doi":"https://doi.org/10.1109/access.2024.3411781","title":"A Triple Noise Tolerant Zeroing Neural Network for Time-Varing Matrix Inverse","display_name":"A Triple Noise Tolerant Zeroing Neural Network for Time-Varing Matrix Inverse","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399485331","doi":"https://doi.org/10.1109/access.2024.3411781"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3411781","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411781","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3411781","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059275124","display_name":"Feixiang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I144581915","display_name":"Jishou University","ror":"https://ror.org/056szk247","country_code":"CN","type":"education","lineage":["https://openalex.org/I144581915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feixiang Yang","raw_affiliation_strings":["College of Computer Science and Engineering, Jishou University, Jishou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Jishou University, Jishou, China","institution_ids":["https://openalex.org/I144581915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636247","display_name":"Yun Huang","orcid":"https://orcid.org/0009-0009-8173-0147"},"institutions":[{"id":"https://openalex.org/I144581915","display_name":"Jishou University","ror":"https://ror.org/056szk247","country_code":"CN","type":"education","lineage":["https://openalex.org/I144581915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Huang","raw_affiliation_strings":["College of Computer Science and Engineering, Jishou University, Jishou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Jishou University, Jishou, China","institution_ids":["https://openalex.org/I144581915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059275124"],"corresponding_institution_ids":["https://openalex.org/I144581915"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0924,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80381267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"82277","last_page":"82288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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":0.9986000061035156,"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/T13579","display_name":"Image and Video Stabilization","score":0.9825999736785889,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6150549054145813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5748413801193237},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5472405552864075},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4861135482788086},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4445275664329529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24332168698310852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15651050209999084},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13611847162246704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150549054145813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5748413801193237},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5472405552864075},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4861135482788086},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4445275664329529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24332168698310852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15651050209999084},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13611847162246704},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3411781","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411781","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a67e45699de44133b1c7917fa357ce97","is_oa":true,"landing_page_url":"https://doaj.org/article/a67e45699de44133b1c7917fa357ce97","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 82277-82288 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3411781","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411781","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3137540492","display_name":null,"funder_award_id":"62006095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3152864769","display_name":null,"funder_award_id":"62062036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4007844660","display_name":null,"funder_award_id":"62066015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1577711892","https://openalex.org/W1619560412","https://openalex.org/W1964491343","https://openalex.org/W1973446088","https://openalex.org/W2019794318","https://openalex.org/W2053961820","https://openalex.org/W2133702739","https://openalex.org/W2158831443","https://openalex.org/W2344053498","https://openalex.org/W2344929049","https://openalex.org/W2563356115","https://openalex.org/W2564007649","https://openalex.org/W2609869589","https://openalex.org/W2753056613","https://openalex.org/W2787568736","https://openalex.org/W2903050599","https://openalex.org/W2903552223","https://openalex.org/W2945488196","https://openalex.org/W2965637422","https://openalex.org/W2973166946","https://openalex.org/W2978371710","https://openalex.org/W3003250870","https://openalex.org/W3018832276","https://openalex.org/W3089173872","https://openalex.org/W3113585697","https://openalex.org/W3130591633","https://openalex.org/W3201305170","https://openalex.org/W4200425661","https://openalex.org/W4226244379","https://openalex.org/W4234535513","https://openalex.org/W4247080625","https://openalex.org/W4307122601","https://openalex.org/W4318953232","https://openalex.org/W4320038897","https://openalex.org/W4324087976"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Matrix":[0],"inversion":[1,34],"is":[2,45],"a":[3,74,97],"fundamental":[4],"operation":[5],"utilized":[6],"across":[7],"numerous":[8],"disciplines":[9],"such":[10],"as":[11],"mathematics,":[12],"engineering,":[13],"and":[14,133,150],"control":[15],"theory.":[16],"The":[17,39],"original":[18],"zeroing":[19,41,84,108],"neural":[20,42,85,109],"network":[21,43,86,110],"(OZNN)":[22],"method":[23],"has":[24],"proven":[25],"effective":[26],"in":[27,52,79,173],"tackling":[28],"the":[29,53,66,80,104,115,127,144,148,153,165,169],"challenge":[30],"of":[31,55,58,152,159,168],"time-varying":[32],"matrix":[33],"(TVMI)":[35],"under":[36,136],"ideal":[37],"conditions.":[38,138],"integration-enhanced":[40],"(IEZNN)":[44],"commonly":[46],"used":[47],"to":[48,70,102,117],"handle":[49],"TVMI":[50,120,175],"issues":[51],"presence":[54],"various":[56,123],"types":[57],"noise.":[59,160],"In":[60],"this":[61,93],"paper,":[62],"we":[63],"have":[64,90],"enhanced":[65],"IEZNN":[67],"model\u2019s":[68],"tolerance":[69],"noise":[71,82,106,124],"by":[72,95],"introducing":[73],"dual":[75,81],"integral":[76],"component,":[77],"resulting":[78],"tolerant":[83,107],"(DNTZNN)":[87],"model.":[88],"We":[89],"further":[91,163],"improved":[92],"model":[94,129,155,172],"incorporating":[96],"positive":[98],"odd":[99],"activation":[100],"function":[101],"create":[103],"triple":[105],"(TNTZNN).":[111],"This":[112],"advancement":[113],"enables":[114],"TNTZNN":[116,128,154,171],"effectively":[118],"solve":[119],"problems":[121],"despite":[122],"disturbances.":[125],"Consequently,":[126],"demonstrates":[130],"excellent":[131],"convergence":[132,149],"robustness":[134],"even":[135],"noisy":[137],"Furthermore,":[139],"theoretical":[140],"analysis":[141],"grounded":[142],"on":[143],"Lyapunov":[145],"theorem":[146],"validates":[147],"resilience":[151],"against":[156],"diverse":[157],"forms":[158],"Computational":[161],"simulations":[162],"substantiate":[164],"superior":[166],"efficacy":[167],"proposed":[170],"resolving":[174],"problems.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
