{"id":"https://openalex.org/W2008972119","doi":"https://doi.org/10.1109/ijcnn.2014.6889544","title":"Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse","display_name":"Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2008972119","doi":"https://doi.org/10.1109/ijcnn.2014.6889544","mag":"2008972119"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5049291213","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-5900-1775"},"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":true,"raw_author_name":"Chen Peng","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084706502","display_name":"Yingbiao Ling","orcid":null},"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":"Yingbiao Ling","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628921","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-1121-4712"},"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":"Ying Wang","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006046841","display_name":"Xiaotian Yu","orcid":"https://orcid.org/0009-0003-9471-9082"},"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":"Xiaotian Yu","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","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":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049291213"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73152309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2788","last_page":"2793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9912999868392944,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.984000027179718,"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/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.8916161060333252},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6643474102020264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5900776386260986},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5680204033851624},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5208578705787659},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4940102696418762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4790976345539093},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.45969027280807495},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4417247474193573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44075554609298706},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4144328832626343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37813836336135864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20927000045776367},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17030861973762512},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.16687935590744019},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11780402064323425}],"concepts":[{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.8916161060333252},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6643474102020264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5900776386260986},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5680204033851624},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5208578705787659},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4940102696418762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790976345539093},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.45969027280807495},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4417247474193573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44075554609298706},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4144328832626343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37813836336135864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20927000045776367},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17030861973762512},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.16687935590744019},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11780402064323425},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":11,"referenced_works":["https://openalex.org/W645921674","https://openalex.org/W2053961820","https://openalex.org/W2055586001","https://openalex.org/W2080532287","https://openalex.org/W2094206629","https://openalex.org/W2133702739","https://openalex.org/W2138594241","https://openalex.org/W2345244325","https://openalex.org/W2610857016","https://openalex.org/W4229706427","https://openalex.org/W4301018745"],"related_works":["https://openalex.org/W2770176672","https://openalex.org/W2040517289","https://openalex.org/W2159579247","https://openalex.org/W1983274264","https://openalex.org/W4386941030","https://openalex.org/W3010926782","https://openalex.org/W4322614778","https://openalex.org/W2143743563","https://openalex.org/W2982562312","https://openalex.org/W4301114481"],"abstract_inverted_index":{"Zhang":[0,49],"neural":[1,10,32],"network":[2,11],"(ZNN)":[3],"is":[4,44],"a":[5,47],"novel":[6],"class":[7],"of":[8,22,25,42,58,87,106],"recurrent":[9,31],"with":[12,82,84],"superior":[13],"solution":[14,21],"ability":[15],"and":[16,64,89,93,104],"convergence":[17,57,67],"performance.":[18],"For":[19],"real-time":[20],"Moore-Penrose":[23],"pseudoinverses":[24],"time-varying":[26],"matrices":[27,83],"based":[28],"on":[29],"continuous-time":[30],"network,":[33],"this":[34],"paper":[35],"proposes":[36],"three":[37,60],"different":[38,61],"ZNN":[39,62,72,109],"models,":[40],"each":[41],"which":[43],"derived":[45],"from":[46],"specifically-chosen":[48],"function":[50],"(ZF).":[51],"Theoretical":[52],"analyses":[53],"guarantee":[54],"the":[55,59,70,97,102,107],"global":[56],"models":[63,73],"their":[65],"fast":[66],"rate.":[68],"Besides,":[69],"proposed":[71,108],"show":[74],"additional":[75],"great":[76],"advantages":[77],"when":[78],"used":[79],"to":[80],"deal":[81],"contrasting":[85],"numbers":[86],"rows":[88],"columns.":[90],"Computer":[91],"simulations":[92],"experiments":[94],"further":[95],"verify":[96],"theoretical":[98],"results,":[99],"vividly":[100],"demonstrating":[101],"effectiveness":[103],"efficiency":[105],"models.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}