{"id":"https://openalex.org/W2141038766","doi":"https://doi.org/10.1109/bmei.2009.5304793","title":"BP Neural Network Model Based on Phase Space Reconstruction","display_name":"BP Neural Network Model Based on Phase Space Reconstruction","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2141038766","doi":"https://doi.org/10.1109/bmei.2009.5304793","mag":"2141038766"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2009.5304793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5304793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","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/A5035602823","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-3893-1594"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Science, Wuhan University of Technology, Wuhan, Hubei, China","School of Science, Wuhan University of Technology, Wuhan China"],"affiliations":[{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100525581","display_name":"Xiangjin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjin Zeng","raw_affiliation_strings":["School of Science, Wuhan University of Technology, Wuhan, Hubei, China","School of Science, Wuhan University of Technology, Wuhan China"],"affiliations":[{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035602823"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11883976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9919999837875366,"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":0.8146543502807617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7208868265151978},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6239659786224365},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6140405535697937},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5651194453239441},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5514802932739258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5355818867683411},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4526585638523102},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44288167357444763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4412092864513397},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.43177464604377747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35915276408195496}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8146543502807617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208868265151978},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6239659786224365},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6140405535697937},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5651194453239441},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5514802932739258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5355818867683411},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4526585638523102},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44288167357444763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4412092864513397},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.43177464604377747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35915276408195496},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2009.5304793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5304793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1543091122","https://openalex.org/W1985400846","https://openalex.org/W2019858446","https://openalex.org/W2044286864","https://openalex.org/W2046042921","https://openalex.org/W2083918846","https://openalex.org/W2097553780","https://openalex.org/W2128431497","https://openalex.org/W2134383471","https://openalex.org/W2157229240","https://openalex.org/W2392032617","https://openalex.org/W6632572439"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2233261550","https://openalex.org/W2144385241","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W4300101996","https://openalex.org/W2165950148"],"abstract_inverted_index":{"The":[0],"BP":[1,46,72],"neural":[2,73],"network":[3,30,74],"has":[4,89],"proven":[5],"robust":[6],"even":[7],"for":[8],"complex":[9],"nonlinear":[10],"problems.":[11],"However,":[12],"its":[13],"high":[14],"performance":[15],"results":[16],"are":[17],"attained":[18],"at":[19],"the":[20,29,55,86],"expense":[21],"of":[22,58,66,95],"a":[23,49,71,99],"long":[24],"training":[25,51,59],"time":[26],"to":[27],"adjust":[28],"parameters,":[31],"which":[32,54],"can":[33],"be":[34],"discouraging":[35],"in":[36,53],"many":[37],"real-world":[38],"applications.":[39],"Even":[40],"on":[41,77],"relatively":[42],"simple":[43],"problems,":[44],"standard":[45],"often":[47],"requires":[48],"lengthy":[50],"process":[52],"complete":[56],"set":[57],"examples":[60],"is":[61,81],"processed":[62],"hundreds":[63],"or":[64],"thousands":[65],"times.":[67],"In":[68],"this":[69],"paper,":[70],"model":[75,88],"based":[76],"phase":[78],"space":[79],"reconstruction":[80],"presented.":[82],"Simulation":[83],"shows":[84],"that":[85],"combined":[87],"greatly":[90],"enhanced":[91],"efficiency":[92],"and":[93,97],"accuracy":[94],"prediction":[96],"obtained":[98],"perfect":[100],"result.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}