{"id":"https://openalex.org/W2027541181","doi":"https://doi.org/10.1109/grc.2009.5255121","title":"Wavelet neural network based on BP algorithm and its application in flood forecasting","display_name":"Wavelet neural network based on BP algorithm and its application in flood forecasting","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2027541181","doi":"https://doi.org/10.1109/grc.2009.5255121","mag":"2027541181"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2009.5255121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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/A5102000530","display_name":"Ping Hu","orcid":"https://orcid.org/0000-0002-8130-0704"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Hu","raw_affiliation_strings":["College of Science, Wuhan university of science and engineering, 430073, China","College of Science, Wuhan University of Science and Engineering, 430073, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Wuhan university of science and engineering, 430073, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"College of Science, Wuhan University of Science and Engineering, 430073, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102000530"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71658842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"251","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9635000228881836,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9635000228881836,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9462000131607056,"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/morlet-wavelet","display_name":"Morlet wavelet","score":0.7858984470367432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7587224245071411},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6652474403381348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5829914808273315},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.5616484880447388},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5247961282730103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4848548173904419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47169947624206543},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.440949022769928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4167943298816681},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.41418829560279846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36835888028144836},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11804291605949402},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.09081408381462097},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08529117703437805},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.06793797016143799}],"concepts":[{"id":"https://openalex.org/C2778280487","wikidata":"https://www.wikidata.org/wiki/Q3505077","display_name":"Morlet wavelet","level":5,"score":0.7858984470367432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7587224245071411},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6652474403381348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5829914808273315},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.5616484880447388},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5247961282730103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4848548173904419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47169947624206543},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.440949022769928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4167943298816681},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.41418829560279846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36835888028144836},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11804291605949402},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.09081408381462097},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08529117703437805},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.06793797016143799},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2009.5255121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1970844520","https://openalex.org/W2381021003","https://openalex.org/W2115196751","https://openalex.org/W2186700429","https://openalex.org/W2807005244","https://openalex.org/W49363845","https://openalex.org/W2019547370","https://openalex.org/W2381051082","https://openalex.org/W2102741279","https://openalex.org/W2390892627"],"abstract_inverted_index":{"As":[0],"is":[1,5,13,81],"well":[2],"known,":[3],"it":[4,48],"the":[6,22,59,72,84,100],"application":[7],"of":[8,21,40,53,61,74,103],"runoff":[9],"flood":[10,23,101],"forecasting":[11,24],"that":[12,83],"extraordinary":[14],"significant":[15],"for":[16,95,99],"us.":[17],"A":[18],"detailed":[19],"detection":[20],"process":[25],"has":[26],"been":[27],"carried":[28],"out":[29],"using":[30,92],"powerful":[31],"artificial":[32],"neural":[33,42],"network":[34,43,54],"in":[35,49,106],"this":[36,93],"paper.":[37],"Learning":[38],"algorithm":[39],"wavelet":[41,69],"was":[44],"produced":[45],"by":[46,91],"extruding":[47],"BP":[50],"idea.The":[51],"determination":[52],"hidden":[55],"layer":[56],"nodes":[57],"utilizes":[58],"method":[60],"tring":[62],"fault.":[63],"Activation":[64],"function":[65],"belongs":[66,77],"to":[67,78],"morlet":[68],"fund":[70],"ion,and":[71],"module":[73],"net":[75],"structure":[76],"371.":[79],"It":[80],"shown":[82],"reliable":[85],"prediction":[86],"accury":[87],"could":[88],"be":[89],"provided":[90],"model":[94],"predicting":[96],"and":[97],"analysing":[98],"data":[102],"solar":[104],"Da":[105],"1996.":[107]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}