{"id":"https://openalex.org/W2985091040","doi":"https://doi.org/10.3233/jifs-179512","title":"Prediction method of cyanobacterial blooms spatial-temporal sequence based on deep belief network and fuzzy expert system","display_name":"Prediction method of cyanobacterial blooms spatial-temporal sequence based on deep belief network and fuzzy expert system","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2985091040","doi":"https://doi.org/10.3233/jifs-179512","mag":"2985091040"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179512","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179512","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5100335803","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-5440-3946"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100941399","display_name":"Yuxin Xie","orcid":"https://orcid.org/0009-0004-6254-0755"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Xie","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006213286","display_name":"Jiping Xu","orcid":"https://orcid.org/0000-0002-6930-8025"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiping Xu","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793713","display_name":"Huiyan Zhang","orcid":"https://orcid.org/0000-0001-5106-8281"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyan Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442802","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0003-2140-6782"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047380208","display_name":"Jiabin Yu","orcid":"https://orcid.org/0000-0002-4261-1585"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabin Yu","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072811137","display_name":"Qian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Sun","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026715699","display_name":"Zhiyao Zhao","orcid":"https://orcid.org/0000-0001-8565-4430"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyao Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100442802"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58202278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"38","issue":"2","first_page":"1487","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9643999934196472,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9643999934196472,"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/T13647","display_name":"AI and Big Data Applications","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13804","display_name":"Physical Activity and Education Research","score":0.926800012588501,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605336606502533},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5408047437667847},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5304177403450012},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49112769961357117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46998512744903564},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4691646993160248},{"id":"https://openalex.org/keywords/bloom","display_name":"Bloom","score":0.4603239595890045},{"id":"https://openalex.org/keywords/algal-bloom","display_name":"Algal bloom","score":0.4306629002094269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1990908980369568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18709740042686462},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1787816286087036},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11196646094322205},{"id":"https://openalex.org/keywords/phytoplankton","display_name":"Phytoplankton","score":0.0950116217136383},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0775698721408844},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06945681571960449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605336606502533},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5408047437667847},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5304177403450012},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49112769961357117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46998512744903564},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4691646993160248},{"id":"https://openalex.org/C155567681","wikidata":"https://www.wikidata.org/wiki/Q2987425","display_name":"Bloom","level":2,"score":0.4603239595890045},{"id":"https://openalex.org/C120305227","wikidata":"https://www.wikidata.org/wiki/Q326139","display_name":"Algal bloom","level":4,"score":0.4306629002094269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1990908980369568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18709740042686462},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1787816286087036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11196646094322205},{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.0950116217136383},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0775698721408844},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06945681571960449},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179512","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179512","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W223924378","https://openalex.org/W1996805765","https://openalex.org/W2040241463","https://openalex.org/W2075784822","https://openalex.org/W2095630645","https://openalex.org/W2327923512","https://openalex.org/W2337592589","https://openalex.org/W2355425877","https://openalex.org/W2363923392","https://openalex.org/W2367838516","https://openalex.org/W2374637623","https://openalex.org/W2378539540","https://openalex.org/W2388791429","https://openalex.org/W2788705187","https://openalex.org/W2889313474","https://openalex.org/W2894227938","https://openalex.org/W2909928153","https://openalex.org/W2943900171","https://openalex.org/W2946005927","https://openalex.org/W2969903315"],"related_works":["https://openalex.org/W2373032380","https://openalex.org/W3205523456","https://openalex.org/W2345562904","https://openalex.org/W2386301908","https://openalex.org/W2078934331","https://openalex.org/W3003664350","https://openalex.org/W4383335003","https://openalex.org/W2382093534","https://openalex.org/W149721904","https://openalex.org/W4230846974"],"abstract_inverted_index":{"The":[0,16,177],"process":[1],"of":[2,56,76,106,158,206],"cyanobacteria":[3,66,87,108,220],"bloom":[4,19,44,67,88,109,209,221],"in":[5,85,222],"rivers":[6,223],"and":[7,13,27,35,47,81,99,118,126,140,165,190,202,224],"lakes":[8],"is":[9,51,95,150,175],"a":[10,156,162,214],"highly":[11],"non-stationary":[12,201],"non-linear":[14],"process.":[15],"existing":[17,186],"cyanobacterial":[18,43,208],"prediction":[20,49,168],"method":[21,169,195,216],"mainly":[22],"uses":[23],"time":[24,32,115,187],"series":[25,33,188],"model":[26,34,38,98,117,123,125,149,178,189],"single":[28,36,191],"intelligent":[29,37,192],"model,":[30,193],"but":[31],"cannot":[39],"effectively":[40],"explain":[41,100,199],"the":[42,48,57,65,74,86,91,101,107,114,119,128,135,141,145,154,159,185,194,200,207],"generation":[45],"process,":[46],"accuracy":[50],"not":[52],"high.":[53],"In":[54],"view":[55],"above":[58],"deficiencies,":[59],"this":[60],"paper":[61],"proposes":[62],"to":[63,97,124,152],"use":[64,113],"spatiotemporal":[68,110,121],"sequence":[69,167],"data":[70],"for":[71,217],"modeling.":[72],"Considering":[73],"characteristics":[75],"large-scale":[77,102,136],"nonlinear":[78,103,137,203],"trend":[79,104,138],"term":[80,84,105,139],"small-scale":[82,129,142],"residual":[83,130,143],"spatial-temporal":[89,210],"sequence,":[90],"deep":[92],"belief":[93],"networks":[94],"used":[96,151],"sequence.":[111,211],"Then":[112],"autocorrelation":[116,122],"multivariate":[120],"interpret":[127],"term;":[131],"finally,":[132],"after":[133],"superimposing":[134],"term,":[144],"adaptive":[146],"neuro-fuzzy":[147],"system":[148,174],"predict":[153],"chlorophyll":[155],"value":[157],"water.":[160],"Therefore,":[161],"fuzzy":[163,172],"spatial":[164],"temporal":[166],"based":[170],"on":[171],"expert":[173],"proposed.":[176],"verification":[179],"results":[180],"show":[181],"that":[182],"compared":[183],"with":[184],"can":[196],"more":[197],"fully":[198],"dynamic":[204],"changes":[205],"It":[212],"provides":[213],"new":[215],"accurately":[218],"predicting":[219],"lakes.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}