{"id":"https://openalex.org/W2890034837","doi":"https://doi.org/10.1109/tbdata.2018.2871151","title":"Short-Term Rainfall Forecasting Using Multi-Layer Perceptron","display_name":"Short-Term Rainfall Forecasting Using Multi-Layer Perceptron","publication_year":2018,"publication_date":"2018-09-19","ids":{"openalex":"https://openalex.org/W2890034837","doi":"https://doi.org/10.1109/tbdata.2018.2871151","mag":"2890034837"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2018.2871151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2871151","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","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/A5035407903","display_name":"Pengcheng Zhang","orcid":"https://orcid.org/0000-0003-3594-408X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Zhang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-3594-408X","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026694879","display_name":"Yangyang Jia","orcid":"https://orcid.org/0000-0002-9324-5052"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Jia","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074631753","display_name":"Jerry Gao","orcid":"https://orcid.org/0000-0002-1051-5839"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jerry Gao","raw_affiliation_strings":["San Jose State University, San Jose, USA","Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-1051-5839","affiliations":[{"raw_affiliation_string":"San Jose State University, San Jose, USA","institution_ids":["https://openalex.org/I51504820"]},{"raw_affiliation_string":"Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071056788","display_name":"Wei Song","orcid":"https://orcid.org/0000-0002-4324-3382"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Song","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4324-3382","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091697161","display_name":"Hareton Leung","orcid":"https://orcid.org/0000-0002-1766-7667"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hareton Leung","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6178,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.92662141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"6","issue":"1","first_page":"93","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9994999766349792,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9994999766349792,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9922999739646912,"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/T10320","display_name":"Neural Networks and Applications","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.7231569290161133},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5982310771942139},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5641645789146423},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5353901982307434},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5166276097297668},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4852426052093506},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4696188271045685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4590837061405182},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.45457619428634644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4500558376312256},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42373326420783997},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.42228034138679504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3456348478794098},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.26252174377441406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19201254844665527},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.1364007592201233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1178041398525238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231569290161133},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5982310771942139},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5641645789146423},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5353901982307434},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5166276097297668},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4852426052093506},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4696188271045685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4590837061405182},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.45457619428634644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4500558376312256},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42373326420783997},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.42228034138679504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3456348478794098},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.26252174377441406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19201254844665527},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.1364007592201233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1178041398525238},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2018.2871151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2871151","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2132647530","display_name":null,"funder_award_id":"61761136003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5918091517","display_name":null,"funder_award_id":"2018B16014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8345355309","display_name":null,"funder_award_id":"BK20171427","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8865962843","display_name":"\u4e0d\u786e\u5b9a\u6761\u4ef6\u4e0b\u57fa\u4e8e\u6982\u7387\u548c\u535a\u5f08\u6a21\u578b\u7684\u8fd0\u884c\u65f6\u76d1\u63a7\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61572171","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W177847060","https://openalex.org/W1533861849","https://openalex.org/W1958898028","https://openalex.org/W1964425467","https://openalex.org/W1971581014","https://openalex.org/W1980160042","https://openalex.org/W1981833187","https://openalex.org/W1993370412","https://openalex.org/W2009203913","https://openalex.org/W2009242076","https://openalex.org/W2012190582","https://openalex.org/W2023430894","https://openalex.org/W2035930921","https://openalex.org/W2064675550","https://openalex.org/W2067562186","https://openalex.org/W2076063813","https://openalex.org/W2076413875","https://openalex.org/W2085693886","https://openalex.org/W2092556113","https://openalex.org/W2109189741","https://openalex.org/W2117130368","https://openalex.org/W2117941247","https://openalex.org/W2121385267","https://openalex.org/W2141125852","https://openalex.org/W2156025083","https://openalex.org/W2159241419","https://openalex.org/W2160815625","https://openalex.org/W2170334405","https://openalex.org/W2286238773","https://openalex.org/W2395814628","https://openalex.org/W2417064059","https://openalex.org/W2471101511","https://openalex.org/W2500487046","https://openalex.org/W2513703616","https://openalex.org/W2554640988","https://openalex.org/W2565001539","https://openalex.org/W2625614184","https://openalex.org/W2755158986","https://openalex.org/W2782061918","https://openalex.org/W2810006455","https://openalex.org/W2919115771","https://openalex.org/W3006923653","https://openalex.org/W6607232846","https://openalex.org/W6631943919","https://openalex.org/W6739112683","https://openalex.org/W6773867592","https://openalex.org/W6910542800"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W4322009192","https://openalex.org/W4320483926","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2559793074","https://openalex.org/W4286643620","https://openalex.org/W4387048144"],"abstract_inverted_index":{"Rainfall":[0],"forecasting":[1,24,47,57,123],"is":[2,86,107,132,142],"crucial":[3],"in":[4,28,40,50,158,181],"the":[5,35,55,90,99,111,122,128,135,138],"field":[6],"of":[7,37,92,101,113,137],"meteorology":[8,156],"and":[9,160,167,186],"hydrology.":[10],"However,":[11],"existing":[12,179],"solutions":[13],"always":[14],"achieve":[15],"low":[16],"prediction":[17],"accuracy":[18,48,58],"for":[19,59],"short-term":[20,60,72],"rainfall":[21,73],"forecasting.":[22],"Atmospheric":[23],"models":[25,166],"perform":[26],"worse":[27],"many":[29],"conditions.":[30],"Machine":[31],"learning":[32,170],"approaches":[33,180],"neglect":[34],"influences":[36],"physical":[38,94],"factors":[39],"upstream":[41],"or":[42],"downstream":[43],"regions,":[44],"which":[45,96,131],"make":[46],"fluctuate":[49],"different":[51],"areas.":[52],"To":[53],"improve":[54],"overall":[56],"rainfall,":[61],"this":[62],"paper":[63],"proposes":[64],"a":[65,104],"novel":[66],"solution":[67],"called":[68],"Dynamic":[69],"Regional":[70],"Combined":[71],"Forecasting":[74],"approach":[75],"(DRCF)":[76],"using":[77],"Multi-layer":[78],"Perceptron":[79],"(MLP).":[80],"First,":[81],"Principal":[82],"Component":[83],"Analysis":[84],"(PCA)":[85],"used":[87],"to":[88,109,126],"reduce":[89],"dimension":[91],"thirteen":[93],"factors,":[95],"serves":[97],"as":[98],"input":[100],"MLP.":[102,114],"Second,":[103],"greedy":[105],"algorithm":[106],"applied":[108],"determine":[110],"structure":[112],"The":[115,172],"surrounding":[116],"sites":[117,157],"are":[118,149],"perceived":[119],"based":[120],"on":[121,151],"site.":[124],"Finally,":[125],"solve":[127],"clutter":[129],"interference":[130],"caused":[133],"by":[134],"extension":[136],"perception":[139],"range,":[140],"DRCF":[141,163,177],"enhanced":[143],"with":[144,164],"several":[145],"dynamic":[146],"strategies.":[147],"Experiments":[148],"conducted":[150],"data":[152],"from":[153],"56":[154],"real-world":[155],"China,":[159],"we":[161],"compare":[162],"atmospheric":[165],"other":[168],"machine":[169],"approaches.":[171],"experimental":[173],"results":[174],"show":[175],"that":[176],"outperforms":[178],"both":[182],"threat":[183],"score":[184],"(TS)":[185],"root":[187],"mean":[188],"square":[189],"error":[190],"(RMSE).":[191]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}