{"id":"https://openalex.org/W4389476452","doi":"https://doi.org/10.1145/3632314.3632336","title":"Multi-Parameter Air Quality Monitoring System Research Based on Back Propagation Neural Network Algorithm","display_name":"Multi-Parameter Air Quality Monitoring System Research Based on Back Propagation Neural Network Algorithm","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389476452","doi":"https://doi.org/10.1145/3632314.3632336"},"language":"en","primary_location":{"id":"doi:10.1145/3632314.3632336","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632314.3632336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Sensing and Industrial Automation","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":null,"display_name":"Gang Wang","orcid":"https://orcid.org/0000-0001-9035-1768"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]},{"id":"https://openalex.org/I92092256","display_name":"Huanghe Science and Technology College","ror":"https://ror.org/008p6rr25","country_code":"CN","type":"education","lineage":["https://openalex.org/I92092256"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Hanwei Electronics Group Corporation, China and \rHuanghe Science and Technology College, China"],"raw_orcid":"https://orcid.org/0000-0001-9035-1768","affiliations":[{"raw_affiliation_string":"Hanwei Electronics Group Corporation, China and \rHuanghe Science and Technology College, China","institution_ids":["https://openalex.org/I2800372957","https://openalex.org/I92092256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051078395","display_name":"Xiaoshui Zhang","orcid":"https://orcid.org/0009-0008-3615-6564"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoshui Zhang","raw_affiliation_strings":["Hanwei Electronics Group Corporation, China"],"raw_orcid":"https://orcid.org/0009-0008-3615-6564","affiliations":[{"raw_affiliation_string":"Hanwei Electronics Group Corporation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027595444","display_name":"Minghui Li","orcid":"https://orcid.org/0009-0005-0021-3596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghui Li","raw_affiliation_strings":["Hanwei Electronics Group Corporation, China"],"raw_orcid":"https://orcid.org/0009-0005-0021-3596","affiliations":[{"raw_affiliation_string":"Hanwei Electronics Group Corporation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041068","display_name":"Jinlong Wang","orcid":"https://orcid.org/0009-0007-8355-5616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlong Wang","raw_affiliation_strings":["Hanwei Electronics Group Corporation, China"],"raw_orcid":"https://orcid.org/0009-0007-8355-5616","affiliations":[{"raw_affiliation_string":"Hanwei Electronics Group Corporation, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056709839","display_name":"Yibo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yibo Wang","raw_affiliation_strings":["Hanwei Electronics Group Corporation, China"],"raw_orcid":"https://orcid.org/0009-0001-5363-9735","affiliations":[{"raw_affiliation_string":"Hanwei Electronics Group Corporation, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800372957","https://openalex.org/I92092256"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15679612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/nitrogen-dioxide","display_name":"Nitrogen dioxide","score":0.6050939559936523},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6034821271896362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5685940980911255},{"id":"https://openalex.org/keywords/particulates","display_name":"Particulates","score":0.5295630097389221},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.509451687335968},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4889637231826782},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4872857332229614},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.41812068223953247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41474398970603943},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2918146550655365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21807703375816345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15315231680870056},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13933223485946655},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1047874391078949},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09478753805160522}],"concepts":[{"id":"https://openalex.org/C2780723490","wikidata":"https://www.wikidata.org/wiki/Q207895","display_name":"Nitrogen dioxide","level":2,"score":0.6050939559936523},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6034821271896362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5685940980911255},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.5295630097389221},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.509451687335968},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4889637231826782},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4872857332229614},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.41812068223953247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41474398970603943},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2918146550655365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21807703375816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15315231680870056},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13933223485946655},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1047874391078949},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09478753805160522},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632314.3632336","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632314.3632336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Intelligent Sensing and Industrial Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2089755769","https://openalex.org/W2158554588","https://openalex.org/W2475217919","https://openalex.org/W3174550468"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W626601394","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W2494533905","https://openalex.org/W2941015101","https://openalex.org/W2371666510","https://openalex.org/W2975026841","https://openalex.org/W2067628325"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,15,98,102,109,119,134],"understanding":[3],"of":[4,101,108,125,160],"air":[5,12,20,33],"pollution":[6],"exposure":[7],"and":[8,62,66,77,106,127,133,142,154,164,169,180,193],"to":[9],"predict":[10],"future":[11],"quality":[13,21,34],"trends,":[14],"demand":[16],"for":[17],"low-cost":[18,31],"sensor-based":[19],"gird":[22],"monitoring":[23,35],"is":[24,46],"growing":[25],"gradually.":[26],"In":[27],"this":[28],"study,":[29],"a":[30,88],"multi-parameter":[32],"system":[36,49],"(LCS)":[37],"based":[38,86,137],"on":[39,87],"back":[40],"propagation":[41],"(BP)":[42],"neural":[43,91],"network":[44,92],"algorithm":[45,93,136],"proposed.":[47],"The":[48,81,114,146,156,184],"can":[50],"measure":[51],"particulate":[52],"matter":[53],"(PM)":[54],"with":[55],"aerodynamic":[56],"diameters":[57],"less":[58],"than":[59],"2.5":[60],"\u03bcm":[61,64],"10":[63],"(PM2.5":[65],"PM10),":[67],"sulfur":[68],"dioxide":[69],"(SO2),":[70],"nitrogen":[71],"oxide":[72],"(NO2),":[73],"carbon":[74],"monoxide":[75],"(CO)":[76],"ozone":[78],"(O3)":[79],"simultaneously.":[80],"multi-dimensional":[82],"multi-response":[83],"prediction":[84],"models":[85],"20-20-type-hidden-layer":[89],"BP":[90],"are":[94,139,152,173,189],"proposed":[95],"by":[96],"taking":[97],"original":[99],"signals":[100],"sensors":[103],"as":[104,112],"input":[105],"measurements":[107],"reference":[110,131,167],"instrumentations":[111],"output.":[113],"experimental":[115],"results":[116,172],"show":[117],"that":[118],"root-mean-square":[120],"errors":[121],"(RMSEs)":[122],"in":[123,158],"\u03bcg/m3":[124,141,159,179],"PM2.5":[126],"PM10":[128],"measured":[129],"between":[130,166],"monitor":[132],"BP-model":[135],"LCS":[138,171],"16.90":[140],"30.69":[143],"\u03bcg/m3,":[144,175,177,182],"respectively.":[145,183],"corresponding":[147],"determination":[148,185],"coefficients":[149,186],"R2":[150,187],"separately":[151,188],"0.8145":[153],"0.9042.":[155],"RMSEs":[157],"SO2,":[161],"NO2,":[162],"CO":[163],"O3":[165],"instrument":[168],"BP-model-based":[170],"3.89":[174],"11.36":[176],"160":[178],"16.52":[181],"0.3467,":[190],"0.6980,":[191],"0.7653":[192],"0.8939.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}