{"id":"https://openalex.org/W2573516778","doi":"https://doi.org/10.3233/jifs-151415","title":"A new probabilistic neural network model based on backpropagation algorithm","display_name":"A new probabilistic neural network model based on backpropagation algorithm","publication_year":2017,"publication_date":"2017-01-13","ids":{"openalex":"https://openalex.org/W2573516778","doi":"https://doi.org/10.3233/jifs-151415","mag":"2573516778"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-151415","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-151415","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5001192377","display_name":"Qian Sun","orcid":"https://orcid.org/0000-0001-7267-7545"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Sun","raw_affiliation_strings":["School of Economy, Heilongjiang Institute of Science and Technology, Harbin, China","School of Management, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economy, Heilongjiang Institute of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I4210161462"]},{"raw_affiliation_string":"School of Management, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103094416","display_name":"Chong Wu","orcid":"https://orcid.org/0000-0003-1017-4496"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Wu","raw_affiliation_strings":["School of Management, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620581","display_name":"Yongli Li","orcid":"https://orcid.org/0000-0002-1979-9057"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-li Li","raw_affiliation_strings":["School of Management, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001192377"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210161462"],"apc_list":null,"apc_paid":null,"fwci":1.0405,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82314308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":"1","first_page":"215","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9966999888420105,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/backpropagation","display_name":"Backpropagation","score":0.8158237338066101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78037428855896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6654986143112183},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.6581547260284424},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5986323356628418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.499237060546875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48861104249954224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3620944619178772},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.28995662927627563}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.8158237338066101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78037428855896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6654986143112183},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.6581547260284424},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5986323356628418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499237060546875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48861104249954224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3620944619178772},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.28995662927627563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-151415","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-151415","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964168965","https://openalex.org/W1973722433","https://openalex.org/W1982832202","https://openalex.org/W1988520084","https://openalex.org/W1989570860","https://openalex.org/W1989906353","https://openalex.org/W2001412000","https://openalex.org/W2004417280","https://openalex.org/W2009952448","https://openalex.org/W2010206770","https://openalex.org/W2013196231","https://openalex.org/W2024060531","https://openalex.org/W2024865307","https://openalex.org/W2041300488","https://openalex.org/W2048571789","https://openalex.org/W2076360516","https://openalex.org/W2079025870","https://openalex.org/W2081808304","https://openalex.org/W2084133018","https://openalex.org/W2095870175","https://openalex.org/W2127644182","https://openalex.org/W2146200922","https://openalex.org/W2159160074","https://openalex.org/W2317688614","https://openalex.org/W2348558819","https://openalex.org/W2360924772","https://openalex.org/W2364019956","https://openalex.org/W2366238687","https://openalex.org/W2492181757","https://openalex.org/W4205616158","https://openalex.org/W4302406380","https://openalex.org/W7053217419"],"related_works":["https://openalex.org/W2381770184","https://openalex.org/W1975643538","https://openalex.org/W2236741694","https://openalex.org/W2355754418","https://openalex.org/W2048220287","https://openalex.org/W2391384657","https://openalex.org/W2361455248","https://openalex.org/W2362189222","https://openalex.org/W2366244137","https://openalex.org/W2067837718"],"abstract_inverted_index":{"Since":[0],"the":[1,10,17,28,41,84,113,128,132,137,140],"traditional":[2],"probabilistic":[3,129],"neural":[4],"network":[5],"(PNN)":[6],"cannot":[7],"systematically":[8],"solve":[9],"difficulty":[11],"of":[12,86,88,115,139],"estimating":[13],"probability":[14],"function":[15,35],"and":[16,36,52,58,74,95,104,135],"high":[18],"space":[19,133],"complexity,":[20],"this":[21],"paper":[22],"introduces":[23],"backpropagation":[24],"(BP)":[25],"algorithm":[26,38,51],"into":[27],"classical":[29],"PNN.":[30],"By":[31],"designing":[32],"appropriate":[33],"error":[34],"BP":[37],"based":[39],"on":[40],"steepest":[42],"descent,":[43],"an":[44],"improved":[45],"BP-PNN":[46,89,107,119],"is":[47,90,120],"presented,":[48],"with":[49,66,102],"its":[50],"effectiveness":[53],"deduced.":[54],"Three":[55],"synthetic":[56],"datasets":[57],"ten":[59],"benchmark":[60],"problems":[61],"have":[62],"been":[63],"tested,":[64],"compared":[65,101],"Probabilistic":[67],"Neural":[68],"Networks":[69],"(PNN),":[70],"Multi-Layered":[71],"Perceptron":[72],"(MLP)":[73],"Support":[75],"Vector":[76],"Machine":[77],"(SVM).":[78],"The":[79],"results":[80],"prove":[81],"that":[82],"(1)":[83],"accuracy":[85],"classification":[87,124],"much":[91],"higher":[92],"than":[93],"PNN,":[94],"it":[96],"has":[97,108],"a":[98,121],"significant":[99],"advantage":[100],"MLP":[103],"SVM;":[105],"(2)":[106],"strong":[109],"capacity":[110],"to":[111,126],"identify":[112,136],"importance":[114,138],"input":[116],"indicators;":[117],"(3)":[118],"new":[122],"pattern":[123],"method":[125],"estimate":[127],"function,":[130],"reduce":[131],"complexity":[134],"indicators.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}