{"id":"https://openalex.org/W1574597679","doi":"https://doi.org/10.1109/ijcnn.2005.1556184","title":"An algorithm for pruning redundant modules in min-ma modular network","display_name":"An algorithm for pruning redundant modules in min-ma modular network","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1574597679","doi":"https://doi.org/10.1109/ijcnn.2005.1556184","mag":"1574597679"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556184","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5066866361","display_name":"Huicheng Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui-Cheng Lian","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040440605","display_name":"Bao\u2010Liang Lu","orcid":"https://orcid.org/0000-0001-8359-0058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Liang Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066866361"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12193413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1983","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937999844551086,"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":0.9937999844551086,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9693999886512756,"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/correctness","display_name":"Correctness","score":0.7463454008102417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852688193321228},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6742205619812012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.657832145690918},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6086433529853821},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5196348428726196},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4710017740726471},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.46851277351379395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19954627752304077}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7463454008102417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852688193321228},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6742205619812012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.657832145690918},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6086433529853821},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5196348428726196},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4710017740726471},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46851277351379395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19954627752304077},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/ijcnn.2005.1556184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556184","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-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":7,"referenced_works":["https://openalex.org/W1821037262","https://openalex.org/W1867065903","https://openalex.org/W2133242585","https://openalex.org/W2136165309","https://openalex.org/W2140443298","https://openalex.org/W2153382583","https://openalex.org/W2161939270"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W4247536566","https://openalex.org/W3119814709","https://openalex.org/W2018477250","https://openalex.org/W1508895727","https://openalex.org/W4241418540","https://openalex.org/W2725786787","https://openalex.org/W4283160672"],"abstract_inverted_index":{"The":[0,22,74,139],"min-max":[1],"modular":[2],"(M/sup":[3],"3/)":[4],"network":[5,25,51,92,159],"is":[6,10,39,81],"a":[7,19,36,42],"framework":[8],"that":[9,143],"capable":[11],"of":[12,44,57,87,105,114,145],"solving":[13],"large-scale":[14,32],"pattern":[15],"classification":[16],"problems":[17],"in":[18],"parallel":[20],"way.":[21],"M/sup":[23,49,90],"3/":[24,50,91],"has":[26,160],"been":[27],"successfully":[28],"applied":[29],"to":[30,69,82,97,110],"several":[31,134],"real-world":[33,137],"problems.":[34,138],"When":[35],"complex":[37],"problem":[38],"decomposed":[40],"into":[41],"number":[43],"separable":[45],"problems,":[46],"however,":[47],"the":[48,78,84,88,100,112,115,123,127,157,161,166],"suffers":[52],"from":[53],"its":[54],"high":[55],"redundancy":[56],"individual":[58],"modules.":[59,73],"This":[60],"paper":[61],"proposes":[62],"an":[63],"algorithm,":[64,68,116],"called":[65],"back-searching":[66],"(BS)":[67],"prune":[70],"these":[71],"redundant":[72,101,147],"main":[75],"idea":[76],"behind":[77],"BS":[79],"algorithm":[80,155],"use":[83],"actual":[85],"outputs":[86],"trained":[89],"associated":[93],"with":[94],"training":[95],"data":[96],"find":[98],"out":[99],"modules":[102,148],"by":[103,152],"means":[104],"'back":[106],"searching'.":[107],"In":[108],"order":[109],"ensure":[111],"correctness":[113],"we":[117],"prove":[118],"two":[119],"propositions":[120],"theoretically,":[121],"namely":[122],"sufficient":[124],"proposition":[125],"and":[126,130,136,156],"necessary":[128],"proposition,":[129],"perform":[131],"simulations":[132],"on":[133],"benchmark":[135],"simulation":[140],"results":[141],"indicate":[142],"most":[144],"all":[146],"can":[149],"be":[150],"pruned":[151,158],"our":[153],"proposed":[154],"same":[162],"generalization":[163],"performance":[164],"as":[165],"original":[167],"network.":[168]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
