{"id":"https://openalex.org/W2385459269","doi":null,"title":"A New Global Optimization BP Neural Networks","display_name":"A New Global Optimization BP Neural Networks","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2385459269","mag":"2385459269"},"language":"en","primary_location":{"id":"mag:2385459269","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-BZSX200404007.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4306554303","display_name":"\u6ee8\u5dde\u5b66\u9662\u5b66\u62a5","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Binzhou Teachers College","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5103635207","display_name":"Sheng Li","orcid":"https://orcid.org/0009-0003-4221-3143","observed_orcids":["https://orcid.org/0009-0003-4221-3143"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sheng Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5103635207"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77294024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5981000065803528,"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":0.5981000065803528,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.34200000762939453,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.020600000396370888,"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/global-optimization","display_name":"global optimization","score":0.9850000143051147},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8579999804496765},{"id":"https://openalex.org/keywords/filled-function-method","display_name":"filled function method","score":0.9179999828338623},{"id":"https://openalex.org/keywords/levenberg-marquardt-algorithm","display_name":"Levenberg-Marquardt algorithm","score":1.0},{"id":"https://openalex.org/keywords/feedforward-neural-network-training","display_name":"feedforward neural network training","score":0.9309999942779541},{"id":"https://openalex.org/keywords/local-optima-avoidance","display_name":"local optima avoidance","score":0.9539999961853027}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8743317127227783},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.6952784061431885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.672173023223877},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6703444719314575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5632712244987488},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5445932745933533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47126030921936035},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46938344836235046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33602267503738403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26424896717071533},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07951933145523071},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07290986180305481},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2385459269","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-BZSX200404007.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4306554303","display_name":"\u6ee8\u5dde\u5b66\u9662\u5b66\u62a5","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Binzhou Teachers College","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2385503507","https://openalex.org/W2353716043","https://openalex.org/W2392456128","https://openalex.org/W2042483888","https://openalex.org/W2125664521","https://openalex.org/W1786265365","https://openalex.org/W6337866","https://openalex.org/W1966295103","https://openalex.org/W2164508270","https://openalex.org/W2122986041"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,72],"global":[4,58],"optimization":[5],"technique":[6],"which":[7],"combines":[8],"the":[9,22,44,50,69],"filled":[10,39],"function":[11,40],"method":[12,41,70],"and":[13,77],"Levenberg-Marquardt":[14],"algorithm":[15,24],"for":[16],"training":[17],"feed":[18],"forward":[19],"neural":[20],"networks.With":[21],"L-M":[23],"whose":[25],"astringency":[26,76],"is":[27,47],"good":[28],",we":[29],"can":[30,61],"find":[31,43],"one":[32],"of":[33],"local":[34,84],"minimal":[35,51,59],"points":[36],"quickly.Afterwards":[37],",the":[38],"will":[42],"point":[45,52,60],"that":[46,68],"lower":[48],"than":[49],"previously":[53],"found.By":[54],"repeating":[55],"these":[56],"processes,a":[57],"be":[62],"obtained":[63],"at":[64],"last.Practical":[65],"examples":[66],"indicate":[67],"has":[71],"higher":[73],"accuracy":[74],"in":[75,83],"works":[78],"well":[79],"to":[80],"avoiding":[81],"sticking":[82],"minima.":[85]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}