{"id":"https://openalex.org/W2730766118","doi":"https://doi.org/10.1109/icis.2017.7960019","title":"Application of improved wavelet neural network in MBR flux prediction","display_name":"Application of improved wavelet neural network in MBR flux prediction","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2730766118","doi":"https://doi.org/10.1109/icis.2017.7960019","mag":"2730766118"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2017.7960019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2017.7960019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","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/A5078945127","display_name":"Guoshuai Cai","orcid":"https://orcid.org/0000-0002-5331-1297"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoshuai Cai","raw_affiliation_strings":["College of Computer Science and Software, Tianjin Polytechnic University, Tianjin, P.R. of China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Tianjin Polytechnic University, Tianjin, P.R. of China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101900229","display_name":"Chunqing Li","orcid":"https://orcid.org/0000-0002-4263-8921"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunqing Li","raw_affiliation_strings":["College of Computer Science and Software, Tianjin Polytechnic University, Tianjin, P.R. of China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Tianjin Polytechnic University, Tianjin, P.R. of China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078945127"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.2658,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61860534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"359","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/T12676","display_name":"Machine Learning and ELM","score":0.9093999862670898,"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/T13344","display_name":"Industrial Automation and Control Systems","score":0.9083999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/membrane-fouling","display_name":"Membrane fouling","score":0.719458281993866},{"id":"https://openalex.org/keywords/flux","display_name":"Flux (metallurgy)","score":0.6542184948921204},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6526715159416199},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.620029091835022},{"id":"https://openalex.org/keywords/fouling","display_name":"Fouling","score":0.5986903309822083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4378342926502228},{"id":"https://openalex.org/keywords/membrane","display_name":"Membrane","score":0.4299909770488739},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4093116521835327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3537643253803253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2404712438583374},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.22675222158432007},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.20509293675422668},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.053638726472854614}],"concepts":[{"id":"https://openalex.org/C180461467","wikidata":"https://www.wikidata.org/wiki/Q2623659","display_name":"Membrane fouling","level":4,"score":0.719458281993866},{"id":"https://openalex.org/C68709404","wikidata":"https://www.wikidata.org/wiki/Q1134475","display_name":"Flux (metallurgy)","level":2,"score":0.6542184948921204},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6526715159416199},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.620029091835022},{"id":"https://openalex.org/C115792997","wikidata":"https://www.wikidata.org/wiki/Q1439803","display_name":"Fouling","level":3,"score":0.5986903309822083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4378342926502228},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","level":2,"score":0.4299909770488739},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4093116521835327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3537643253803253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2404712438583374},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.22675222158432007},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.20509293675422668},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.053638726472854614},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2017.7960019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2017.7960019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8799999952316284}],"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":7,"referenced_works":["https://openalex.org/W1999354935","https://openalex.org/W2040677838","https://openalex.org/W2051680981","https://openalex.org/W2143348739","https://openalex.org/W2204818998","https://openalex.org/W2517615733","https://openalex.org/W2545757442"],"related_works":["https://openalex.org/W4200106736","https://openalex.org/W2348836991","https://openalex.org/W2982618191","https://openalex.org/W2503945921","https://openalex.org/W1988581234","https://openalex.org/W2365622269","https://openalex.org/W2385620936","https://openalex.org/W2794481054","https://openalex.org/W2034178922","https://openalex.org/W2020996244"],"abstract_inverted_index":{"Membrane":[0],"Bio-Reactor":[1],"(MBR)":[2],"technology":[3,18],"plays":[4],"an":[5],"important":[6,113],"role":[7],"in":[8,95],"modern":[9],"sewage":[10,44],"treatment":[11,45],"but":[12],"the":[13,16,23,28,40,50,65,87,90,96,98,102,105,118,121,126,132,135,142,149,153,159,168,174,179,184],"performance":[14],"of":[15,30,35,42,52,68,86,89,101,107,120,162],"MBR":[17,36,43,59,69,91,108],"is":[19,33,46,115,129,139,165],"seriously":[20],"affected":[21,48],"by":[22,49,147],"membrane":[24,31,37,53,60,70,92,109,127,169],"fouling.":[25],"In":[26,55,84],"general,":[27],"result":[29],"fouling":[32,93],"decline":[34],"flux,":[38,170],"and":[39,63,125,141,156,171],"effect":[41],"directly":[47],"decrease":[51],"flux.":[54],"order":[56],"to":[57],"predict":[58],"flux":[61,71,106,128],"accurately":[62],"rapidly,":[64],"forecasting":[66,186],"model":[67,138,187],"based":[72],"on":[73,167],"particle":[74],"swarm":[75],"improving":[76],"wavelet":[77],"neural":[78,176],"network":[79,177],"algorithm":[80,164],"(PSO_WNN)":[81],"was":[82],"established.":[83],"view":[85],"complexity":[88],"factor,":[94],"beginning,":[97],"main":[99],"components":[100],"factors":[103],"affecting":[104],"were":[110],"analyzed.":[111],"The":[112],"factor":[114],"extracted":[116],"as":[117,131],"input":[119],"PSO_WNN":[122,136,185],"prediction":[123,143],"model,":[124,178],"used":[130],"output.":[133],"Then,":[134],"simulation":[137],"established,":[140],"results":[144,181],"are":[145],"obtained":[146],"using":[148],"model.":[150],"By":[151],"comparing":[152],"predicted":[154,190],"data":[155],"experimental":[157],"data,":[158],"predictive":[160],"accuracy":[161],"this":[163],"high":[166],"compared":[172],"with":[173],"BP":[175],"comparative":[180],"show":[182],"that":[183],"has":[188],"higher":[189],"accuracy.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
