{"id":"https://openalex.org/W3089988818","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207263","title":"A Self-Organizing Modular Neural Network for Nonlinear System Modeling","display_name":"A Self-Organizing Modular Neural Network for Nonlinear System Modeling","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089988818","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207263","mag":"3089988818"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5059236092","display_name":"Xi Meng","orcid":"https://orcid.org/0000-0003-4778-3201"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Meng","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082327423","display_name":"Limin Quan","orcid":"https://orcid.org/0000-0001-6972-2288"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Quan","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113852585","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0003-0950-7900"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Qiao","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059236092"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11724587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"8"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9962000250816345,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9950000047683716,"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/modular-design","display_name":"Modular design","score":0.8100594282150269},{"id":"https://openalex.org/keywords/modular-neural-network","display_name":"Modular neural network","score":0.760001540184021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487640380859375},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.7208294868469238},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7069721817970276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6877651810646057},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.509992241859436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4836879372596741},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4333336353302002},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.30977118015289307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11280256509780884}],"concepts":[{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.8100594282150269},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.760001540184021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487640380859375},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7208294868469238},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7069721817970276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6877651810646057},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.509992241859436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4836879372596741},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4333336353302002},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.30977118015289307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11280256509780884},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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":39,"referenced_works":["https://openalex.org/W1190147142","https://openalex.org/W1963682480","https://openalex.org/W1969050738","https://openalex.org/W1976047713","https://openalex.org/W1977168717","https://openalex.org/W1984049995","https://openalex.org/W1994341528","https://openalex.org/W1999653836","https://openalex.org/W2027810248","https://openalex.org/W2037671496","https://openalex.org/W2047950320","https://openalex.org/W2061065224","https://openalex.org/W2063284749","https://openalex.org/W2093584539","https://openalex.org/W2111072639","https://openalex.org/W2131246644","https://openalex.org/W2135995262","https://openalex.org/W2136496883","https://openalex.org/W2187384899","https://openalex.org/W2281340378","https://openalex.org/W2534341274","https://openalex.org/W2553191309","https://openalex.org/W2565637145","https://openalex.org/W2576588349","https://openalex.org/W2724217173","https://openalex.org/W2741488669","https://openalex.org/W2741800562","https://openalex.org/W2748574539","https://openalex.org/W2782196292","https://openalex.org/W2791840547","https://openalex.org/W2802174584","https://openalex.org/W2802348097","https://openalex.org/W2883909062","https://openalex.org/W2895507993","https://openalex.org/W2896731226","https://openalex.org/W2930688776","https://openalex.org/W2981896041","https://openalex.org/W6680183167","https://openalex.org/W6755487421"],"related_works":["https://openalex.org/W2297768894","https://openalex.org/W2378076731","https://openalex.org/W3109014690","https://openalex.org/W2122405502","https://openalex.org/W3088304681","https://openalex.org/W2114254072","https://openalex.org/W2127721729","https://openalex.org/W2884798239","https://openalex.org/W1531253727","https://openalex.org/W2080845967"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,89,106,129],"self-organizing":[4],"modular":[5,18,33],"neural":[6,46,81],"network":[7,47],"(SO-MNN)":[8],"is":[9,35,59,109,122],"proposed":[10,120],"for":[11],"nonlinear":[12],"system":[13],"modeling,":[14],"in":[15,53],"which":[16],"the":[17,26,32,39,44,49,57,67,101,114,119],"structure":[19,34,90],"and":[20,29,48,93,128],"sub-networks":[21,70],"are":[22,71],"optimized":[23],"to":[24,66,111],"improve":[25],"modeling":[27],"accuracy":[28],"efficiency.":[30],"First,":[31],"constructed":[36,72],"by":[37,88,124],"seeking":[38],"maximum":[40],"modularity":[41],"degree":[42],"of":[43,118],"whole":[45],"optimal":[50],"hub":[51],"center":[52],"each":[54],"sub-network.":[55],"Simultaneously,":[56],"task":[58],"divided":[60],"into":[61],"several":[62],"sub-tasks.":[63],"Then,":[64],"according":[65],"assigned":[68],"sub-tasks,":[69],"based":[73],"on":[74],"an":[75,94],"incremental":[76],"radial":[77],"basis":[78],"function":[79],"(RBF)":[80],"network,":[82],"whose":[83],"performance":[84],"can":[85],"be":[86],"guaranteed":[87],"growing":[91],"mechanism":[92],"adaptive":[95],"second-order":[96],"learning":[97],"algorithm.":[98],"Finally,":[99],"during":[100],"testing":[102],"or":[103],"application":[104],"processes,":[105],"winner-take-all":[107],"strategy":[108],"used":[110],"integrated":[112],"all":[113],"sub-networks.":[115],"The":[116],"effectiveness":[117],"methodology":[121],"verified":[123],"two":[125],"benchmark":[126],"problems":[127],"real-world":[130],"application.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
