{"id":"https://openalex.org/W4200198699","doi":"https://doi.org/10.3390/sym14010011","title":"Intelligent Dendritic Neural Model for Classification Problems","display_name":"Intelligent Dendritic Neural Model for Classification Problems","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4200198699","doi":"https://doi.org/10.3390/sym14010011"},"language":"en","primary_location":{"id":"doi:10.3390/sym14010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14010011","pdf_url":"https://www.mdpi.com/2073-8994/14/1/11/pdf?version=1640251081","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/1/11/pdf?version=1640251081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062221157","display_name":"Weixiang Xu","orcid":"https://orcid.org/0000-0002-3083-794X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weixiang Xu","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033471660","display_name":"Dongbao Jia","orcid":"https://orcid.org/0000-0001-7007-4134"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongbao Jia","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","The Ministry of Education Key Laboratory of TianQin Project, Sun Yat-sen University, Zhuhai 519082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","institution_ids":[]},{"raw_affiliation_string":"The Ministry of Education Key Laboratory of TianQin Project, Sun Yat-sen University, Zhuhai 519082, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062061044","display_name":"Zhaoman Zhong","orcid":"https://orcid.org/0000-0001-8333-6949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoman Zhong","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062330119","display_name":"Cunhua Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cunhua Li","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000131419","display_name":"Zhongxun Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongxun Xu","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033471660"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.8396,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79520767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"1","first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9975000023841858,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9975000023841858,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.7885564565658569},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7184277176856995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967776775360107},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5147152543067932},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5117642879486084},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4652785658836365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3926699757575989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885564565658569},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7184277176856995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967776775360107},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5147152543067932},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5117642879486084},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4652785658836365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3926699757575989},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14010011","pdf_url":"https://www.mdpi.com/2073-8994/14/1/11/pdf?version=1640251081","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5dfe991208b45c89be8a04a0cafcdc3","is_oa":true,"landing_page_url":"https://doaj.org/article/f5dfe991208b45c89be8a04a0cafcdc3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 1, p 11 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/1/11/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14010011","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14010011","pdf_url":"https://www.mdpi.com/2073-8994/14/1/11/pdf?version=1640251081","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G3421489952","display_name":null,"funder_award_id":"12105120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200198699.pdf","grobid_xml":"https://content.openalex.org/works/W4200198699.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1786357191","https://openalex.org/W1792666317","https://openalex.org/W1892221894","https://openalex.org/W1977177161","https://openalex.org/W1979009696","https://openalex.org/W1983362686","https://openalex.org/W1995562189","https://openalex.org/W1999077811","https://openalex.org/W2008795575","https://openalex.org/W2017115408","https://openalex.org/W2040870580","https://openalex.org/W2047094503","https://openalex.org/W2099601787","https://openalex.org/W2107633128","https://openalex.org/W2119345691","https://openalex.org/W2168081761","https://openalex.org/W2180748755","https://openalex.org/W2290883490","https://openalex.org/W2317643927","https://openalex.org/W2555678787","https://openalex.org/W2582992257","https://openalex.org/W2586816396","https://openalex.org/W2789876780","https://openalex.org/W2888351819","https://openalex.org/W2909448390","https://openalex.org/W2919979744","https://openalex.org/W2936321199","https://openalex.org/W2965160800","https://openalex.org/W2992732987","https://openalex.org/W3007040893","https://openalex.org/W3015376070","https://openalex.org/W3023255426","https://openalex.org/W3044376179","https://openalex.org/W3078359278","https://openalex.org/W3110565446","https://openalex.org/W3116729189","https://openalex.org/W3134425097","https://openalex.org/W3136451693","https://openalex.org/W3144674962","https://openalex.org/W3153922598","https://openalex.org/W3204066873","https://openalex.org/W4239510810","https://openalex.org/W4250863246","https://openalex.org/W4253667136","https://openalex.org/W4292083457","https://openalex.org/W6607259140","https://openalex.org/W6656074963","https://openalex.org/W6675226525","https://openalex.org/W6676058556","https://openalex.org/W6677979275","https://openalex.org/W6800854101"],"related_works":["https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2098962763","https://openalex.org/W2371065793","https://openalex.org/W2157746493"],"abstract_inverted_index":{"In":[0,164],"recent":[1],"years,":[2],"the":[3,28,33,45,53,66,72,76,88,107,119,154],"dendritic":[4,34,60,78,124,133,138,157],"neural":[5,35,61,79,125,134,139,158],"model":[6,62,73,80,108,126,140,159],"has":[7,141,178],"been":[8],"widely":[9],"employed":[10],"in":[11,44,49,96,160],"various":[12],"fields":[13],"because":[14],"of":[15,32,52,75,90,103,121,156],"its":[16],"simple":[17],"structure":[18],"and":[19,145,181,187],"inexpensive":[20],"cost.":[21],"Traditional":[22],"numerical":[23],"optimization":[24,30,46,68,94,169,176],"is":[25,38,127],"ineffective":[26],"for":[27,106,153],"parameter":[29],"problem":[31],"model;":[36],"it":[37],"easy":[39],"to":[40,70],"fall":[41],"into":[42],"local":[43],"process,":[47],"resulting":[48],"poor":[50],"performance":[51,89,120],"model.":[54,135],"This":[55],"paper":[56],"proposes":[57],"an":[58,122,150,171],"intelligent":[59,67,93,123,137,168],"firstly,":[63],"which":[64,148],"uses":[65],"algorithm":[69,173,177],"optimize":[71],"instead":[74],"traditional":[77,132],"with":[81],"a":[82,131],"backpropagation":[83],"algorithm.":[84],"The":[85,100,115,136],"experiment":[86],"compares":[87],"ten":[91,167],"representative":[92],"algorithms":[95],"six":[97],"classification":[98,143,162],"datasets.":[99],"optimal":[101],"combination":[102],"user-defined":[104],"parameters":[105],"evaluates":[109],"by":[110],"using":[111],"Taguchi\u2019s":[112],"method,":[113],"systemically.":[114],"results":[116],"show":[117],"that":[118],"significantly":[128],"better":[129],"than":[130],"small":[142],"errors":[144],"high":[146],"accuracy,":[147],"provides":[149],"effective":[151],"approach":[152],"application":[155],"engineering":[161],"problems.":[163],"addition,":[165],"among":[166],"algorithms,":[170],"evolutionary":[172],"called":[174],"biogeographic":[175],"excellent":[179,188],"performance,":[180],"can":[182],"quickly":[183],"obtain":[184],"high-quality":[185],"solutions":[186],"convergence":[189],"speed.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
