{"id":"https://openalex.org/W2010382508","doi":"https://doi.org/10.1109/ijcnn.2014.6889780","title":"Specific humidity forecasting using recurrent Neural Network","display_name":"Specific humidity forecasting using recurrent Neural Network","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2010382508","doi":"https://doi.org/10.1109/ijcnn.2014.6889780","mag":"2010382508"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5100766597","display_name":"Fang Chen","orcid":"https://orcid.org/0000-0002-4410-7040"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chen Fang","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI, USA","[University of Michigan\u2013Dearborn, Dearborn, MI, USA]"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"[University of Michigan\u2013Dearborn, Dearborn, MI, USA]","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559485","display_name":"Xipeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xipeng Wang","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI, USA","[University of Michigan\u2013Dearborn, Dearborn, MI, USA]"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"[University of Michigan\u2013Dearborn, Dearborn, MI, USA]","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054035359","display_name":"Yi Lu Murphey","orcid":"https://orcid.org/0000-0002-0501-8002"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi L Murphey","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI, USA","[University of Michigan\u2013Dearborn, Dearborn, MI, USA]"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"[University of Michigan\u2013Dearborn, Dearborn, MI, USA]","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085571634","display_name":"David M. Weber","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Weber","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Co., Dearborn, MI, , USA"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Co., Dearborn, MI, , USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053369330","display_name":"Perry MacNeille","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Perry MacNeille","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Co., Dearborn, MI, , USA"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Co., Dearborn, MI, , USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100766597"],"corresponding_institution_ids":["https://openalex.org/I4210130704"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8011791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"955","last_page":"960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.960099995136261,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7815632224082947},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6681775450706482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587297320365906},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6333168148994446},{"id":"https://openalex.org/keywords/humidity","display_name":"Humidity","score":0.6124787330627441},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5176734924316406},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5018081665039062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4574193060398102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4535086154937744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3300459384918213},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.24486348032951355},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08602946996688843}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7815632224082947},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6681775450706482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587297320365906},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6333168148994446},{"id":"https://openalex.org/C151420433","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Humidity","level":2,"score":0.6124787330627441},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5176734924316406},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5018081665039062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4574193060398102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4535086154937744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3300459384918213},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.24486348032951355},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08602946996688843}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W260247190","https://openalex.org/W1489920315","https://openalex.org/W1514205146","https://openalex.org/W1573759494","https://openalex.org/W1638269692","https://openalex.org/W1928691699","https://openalex.org/W1970447461","https://openalex.org/W1971735090","https://openalex.org/W1986382767","https://openalex.org/W2005289033","https://openalex.org/W2035174181","https://openalex.org/W2046995374","https://openalex.org/W2047658868","https://openalex.org/W2050046122","https://openalex.org/W2069426373","https://openalex.org/W2103496339","https://openalex.org/W2110588131","https://openalex.org/W2117548424","https://openalex.org/W2128084896","https://openalex.org/W2133671888","https://openalex.org/W2137983211","https://openalex.org/W2143020966","https://openalex.org/W2883779626","https://openalex.org/W3003694668","https://openalex.org/W3125537303","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"This":[0,49],"paper":[1],"presents":[2],"our":[3],"research":[4],"in":[5,76],"building":[6],"a":[7,94],"virtual":[8],"humidity":[9,61,99],"sensor":[10],"using":[11],"recurrent":[12],"Neural":[13,16,54],"Networks.":[14],"Recurrent":[15,53],"Networks":[17],"are":[18],"promising":[19,95],"methods":[20],"for":[21],"the":[22,59,71],"prediction":[23],"of":[24,73],"time":[25,47,77],"series":[26,78],"because":[27],"they":[28],"provide":[29],"feedback":[30],"connections":[31],"from":[32,45,62],"hidden":[33],"layer":[34],"to":[35,57,97],"its":[36],"inputs":[37],"and,":[38],"therefore,":[39],"can":[40],"store":[41],"temporal":[42],"information":[43],"learned":[44],"previous":[46],"steps.":[48],"study":[50,69],"applies":[51],"Elman":[52],"Network":[55],"(ERNN)":[56],"forecast":[58],"specific":[60,98],"three":[63],"weather":[64],"stations.":[65],"In":[66],"addition,":[67],"this":[68],"examines":[70],"feasibility":[72],"applying":[74],"ERNN":[75,92],"forecasting":[79],"by":[80],"comparing":[81],"it":[82],"with":[83],"multilayer":[84],"perceptron":[85],"network.":[86],"The":[87],"experiment":[88],"results":[89],"indicate":[90],"that":[91],"is":[93],"alternative":[96],"forecasting.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}