{"id":"https://openalex.org/W4282828795","doi":"https://doi.org/10.1142/s0218127422501085","title":"Lightweight Memristive Neural Network for Gas Classification Based on Heterogeneous Strategy","display_name":"Lightweight Memristive Neural Network for Gas Classification Based on Heterogeneous Strategy","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4282828795","doi":"https://doi.org/10.1142/s0218127422501085"},"language":"en","primary_location":{"id":"doi:10.1142/s0218127422501085","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218127422501085","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","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/A5101439559","display_name":"Fan Sun","orcid":"https://orcid.org/0000-0002-9689-3573"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Sun","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428151","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-5451-2683"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719067","display_name":"He Xiao","orcid":"https://orcid.org/0000-0003-0769-0780"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"He Xiao","raw_affiliation_strings":["College of Engineering and Mathematical Science, University of Western Australia, Perth, WA 6009, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Mathematical Science, University of Western Australia, Perth, WA 6009, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087454088","display_name":"Xiaofang Hu","orcid":"https://orcid.org/0000-0003-3764-2640"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofang Hu","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087454088"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46271968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.8632265329360962},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7619445323944092},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7146941423416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6817774772644043},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5843765735626221},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5043789148330688},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45882415771484375},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.43249964714050293},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41154685616493225},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36592766642570496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29703763127326965},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1597742736339569},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13311833143234253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08431881666183472}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8632265329360962},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7619445323944092},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7146941423416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817774772644043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5843765735626221},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5043789148330688},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45882415771484375},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.43249964714050293},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41154685616493225},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36592766642570496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29703763127326965},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1597742736339569},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13311833143234253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08431881666183472},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218127422501085","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218127422501085","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1993046379","https://openalex.org/W1993443803","https://openalex.org/W2019629600","https://openalex.org/W2022851810","https://openalex.org/W2025516544","https://openalex.org/W2069233440","https://openalex.org/W2150574330","https://openalex.org/W2172307690","https://openalex.org/W2194775991","https://openalex.org/W2613205562","https://openalex.org/W2803163155","https://openalex.org/W2888171707","https://openalex.org/W2963446712","https://openalex.org/W2968178320","https://openalex.org/W2981609437","https://openalex.org/W3003821665","https://openalex.org/W4245795187"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2086672837","https://openalex.org/W4367187682","https://openalex.org/W2909534142","https://openalex.org/W3215957123","https://openalex.org/W1940420793"],"abstract_inverted_index":{"The":[0,86],"memristive":[1,55],"neuromorphic":[2],"computing":[3],"system":[4],"(MNCS)":[5],"can":[6],"complete":[7],"related":[8],"calculations":[9],"with":[10],"lower":[11],"power":[12,118],"consumption":[13,119],"and":[14,29,50,100,136],"higher":[15],"speed,":[16],"which":[17],"has":[18],"attracted":[19],"widespread":[20],"attention.":[21],"However,":[22],"due":[23],"to":[24,78,80,125],"the":[25,31,48,63,70,81,91,95,101,109,117,121,126,138],"limitations":[26],"of":[27,33,84,103,120],"memristor":[28],"circuit,":[30],"realization":[32],"MNCS":[34,49],"faces":[35],"many":[36],"challenges.":[37],"In":[38,68],"this":[39],"paper,":[40],"we":[41,114],"propose":[42],"a":[43,52],"heterogeneous":[44,54,110],"deployment":[45,111],"strategy":[46,77],"for":[47,134],"construct":[51],"lightweight":[53],"gas":[56],"classification":[57],"neural":[58],"network":[59],"(LHM-GSNN)":[60],"based":[61],"on":[62],"electronic":[64],"nose":[65],"(e-nose)":[66],"application.":[67],"addition,":[69],"model":[71,96,123],"parameters":[72,104],"are":[73],"quantified":[74],"by":[75],"clustering":[76],"adapt":[79],"nonideal":[82],"characteristics":[83],"memristor.":[85],"experimental":[87],"results":[88],"show":[89],"that":[90],"complex":[92],"structure":[93],"in":[94],"is":[97,105],"visibly":[98],"simplified,":[99],"number":[102],"correspondingly":[106],"reduced":[107],"using":[108],"strategy.":[112],"Furthermore,":[113],"also":[115],"analyze":[116],"LHM-GSNN":[122],"deployed":[124],"MNCS.":[127,139],"This":[128],"work":[129],"may":[130],"provide":[131],"new":[132],"solutions":[133],"constructing":[135],"implementing":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}