{"id":"https://openalex.org/W4403095537","doi":"https://doi.org/10.1109/jiot.2024.3472052","title":"Performance Optimization and Interpretability of Recurrent Sigma-Pi-Sigma Neural Networks on Application of IoE Data","display_name":"Performance Optimization and Interpretability of Recurrent Sigma-Pi-Sigma Neural Networks on Application of IoE Data","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4403095537","doi":"https://doi.org/10.1109/jiot.2024.3472052"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3472052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3472052","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","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/A5065493610","display_name":"Fei Deng","orcid":"https://orcid.org/0000-0002-9448-5496"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Deng","raw_affiliation_strings":["College of Information Engineering, Kunming University, Kunming, China","College of Information Engineering, Kunming University, Kunming"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Kunming University, Kunming, China","institution_ids":["https://openalex.org/I146071755"]},{"raw_affiliation_string":"College of Information Engineering, Kunming University, Kunming","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["College of Information Engineering, Kunming University, Kunming, China","College of Information Engineering, Kunming University, Kunming"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Kunming University, Kunming, China","institution_ids":["https://openalex.org/I146071755"]},{"raw_affiliation_string":"College of Information Engineering, Kunming University, Kunming","institution_ids":["https://openalex.org/I146071755"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065493610"],"corresponding_institution_ids":["https://openalex.org/I146071755"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14950355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"3639","last_page":"3653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8762999773025513,"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":0.8762999773025513,"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/interpretability","display_name":"Interpretability","score":0.8693628907203674},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.7675942182540894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426578760147095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5625942945480347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4808162450790405},{"id":"https://openalex.org/keywords/pi","display_name":"Pi","score":0.4760327637195587},{"id":"https://openalex.org/keywords/six-sigma","display_name":"Six Sigma","score":0.43344274163246155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16120710968971252},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11528754234313965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08118069171905518}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8693628907203674},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.7675942182540894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426578760147095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5625942945480347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4808162450790405},{"id":"https://openalex.org/C53009064","wikidata":"https://www.wikidata.org/wiki/Q167","display_name":"Pi","level":2,"score":0.4760327637195587},{"id":"https://openalex.org/C23119410","wikidata":"https://www.wikidata.org/wiki/Q236908","display_name":"Six Sigma","level":3,"score":0.43344274163246155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16120710968971252},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11528754234313965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08118069171905518},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3472052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3472052","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4043163821","display_name":null,"funder_award_id":"619620330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8645065898","display_name":null,"funder_award_id":"62066023","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":45,"referenced_works":["https://openalex.org/W1601499986","https://openalex.org/W1993361367","https://openalex.org/W2004715276","https://openalex.org/W2018549926","https://openalex.org/W2025546488","https://openalex.org/W2030908561","https://openalex.org/W2033020538","https://openalex.org/W2062130345","https://openalex.org/W2084130824","https://openalex.org/W2101934418","https://openalex.org/W2115471292","https://openalex.org/W2131529877","https://openalex.org/W2168545606","https://openalex.org/W2546700349","https://openalex.org/W2558662207","https://openalex.org/W2729554511","https://openalex.org/W2800753560","https://openalex.org/W2922821908","https://openalex.org/W2954035020","https://openalex.org/W2990761096","https://openalex.org/W3023127512","https://openalex.org/W3110884700","https://openalex.org/W3183827394","https://openalex.org/W3195503752","https://openalex.org/W3205035978","https://openalex.org/W4224103037","https://openalex.org/W4226208947","https://openalex.org/W4297878125","https://openalex.org/W4298149184","https://openalex.org/W4307727076","https://openalex.org/W4308444644","https://openalex.org/W4313245158","https://openalex.org/W4315643607","https://openalex.org/W4319339039","https://openalex.org/W4323034003","https://openalex.org/W4366826879","https://openalex.org/W4376566010","https://openalex.org/W4379113092","https://openalex.org/W4381137231","https://openalex.org/W4386712371","https://openalex.org/W4388692276","https://openalex.org/W4389459230","https://openalex.org/W4389687862","https://openalex.org/W4389934592","https://openalex.org/W4390437132"],"related_works":["https://openalex.org/W2010530423","https://openalex.org/W2376050517","https://openalex.org/W2526355781","https://openalex.org/W1601839798","https://openalex.org/W2012465829","https://openalex.org/W1819446","https://openalex.org/W2725982103","https://openalex.org/W594616480","https://openalex.org/W2018304657","https://openalex.org/W1964627399"],"abstract_inverted_index":{"With":[0],"the":[1,11,48,53,67,106,122],"exponential":[2],"growth":[3],"of":[4,6,13,15,47,108,115],"Internet":[5,14],"Things":[7],"(IoT)":[8],"devices":[9],"in":[10,29,42,52,130],"era":[12],"Everything":[16],"(IoE),":[17],"two":[18],"major":[19],"issues":[20],"arise:":[21],"1)":[22],"data":[23,39],"processing":[24],"speed":[25,96],"and":[26,50,85,102,119,133],"2)":[27],"interpretability":[28,107],"neural":[30,34,65,70],"networks.":[31],"Specifically,":[32],"training":[33],"networks":[35],"to":[36],"handle":[37],"IoE":[38],"often":[40],"results":[41,129],"poor":[43],"convergence":[44,95],"speed,":[45],"overfitting":[46],"weights,":[49],"fluctuations":[51],"error":[54],"function.":[55],"To":[56],"address":[57],"these":[58],"challenges,":[59],"this":[60],"article":[61],"introduces":[62],"a":[63,75],"novel":[64],"network,":[66],"recurrent":[68],"sigma-pi-sigma":[69],"network":[71],"(RSPSNN),":[72],"trained":[73],"using":[74],"batch":[76],"gradient":[77],"algorithm":[78],"enhanced":[79],"with":[80],"smoothing":[81],"L1":[82],"lasso":[83],"regularization":[84],"an":[86],"adaptive":[87],"momentum":[88],"term.":[89],"This":[90],"approach":[91],"not":[92],"only":[93],"improves":[94],"but":[97],"also":[98],"enhances":[99],"generalization":[100],"capabilities":[101],"reduces":[103],"oscillations.":[104],"Furthermore,":[105],"RSPSNN":[109],"is":[110],"theoretically":[111],"demonstrated":[112],"through":[113],"characteristics":[114],"monotonicity,":[116],"strong/weak":[117],"convergence,":[118],"stability.":[120],"Finally,":[121],"theoretical":[123],"findings":[124],"are":[125],"supported":[126],"by":[127],"experiment":[128],"classification,":[131],"recognition,":[132],"prediction":[134],"tasks.":[135]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}