{"id":"https://openalex.org/W2181358125","doi":"https://doi.org/10.1109/icmlc.2015.7340625","title":"Anefficient learning algorithm for binary feedforward neural networks","display_name":"Anefficient learning algorithm for binary feedforward neural networks","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2181358125","doi":"https://doi.org/10.1109/icmlc.2015.7340625","mag":"2181358125"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5038952263","display_name":"Jianxin Zhou","orcid":"https://orcid.org/0000-0002-1559-7554"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxin Zhou","raw_affiliation_strings":["Institute of Intelligence Science and Technology, Hohai University, Nanjing"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Technology, Hohai University, Nanjing","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017246","display_name":"Xiaoqin Zeng","orcid":"https://orcid.org/0000-0002-4687-901X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zeng","raw_affiliation_strings":["Institute of Intelligence Science and Technology, Hohai University, Nanjing"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Technology, Hohai University, Nanjing","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038952263"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05838159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"609","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7184184789657593},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6836655735969543},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.652329683303833},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.627684473991394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6142383217811584},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5834059715270996},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5671609044075012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5645008087158203},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5474340915679932},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5366783738136292},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5278829336166382},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4934152662754059},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.43560677766799927},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.43122559785842896},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4254996180534363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3962397277355194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36526012420654297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1844380497932434},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.13344287872314453},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12800735235214233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06838226318359375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184184789657593},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6836655735969543},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.652329683303833},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.627684473991394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6142383217811584},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5834059715270996},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5671609044075012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645008087158203},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5474340915679932},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5366783738136292},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5278829336166382},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4934152662754059},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.43560677766799927},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43122559785842896},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4254996180534363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3962397277355194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36526012420654297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1844380497932434},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.13344287872314453},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12800735235214233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06838226318359375},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"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/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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":9,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1862619709","https://openalex.org/W2025894980","https://openalex.org/W2111072639","https://openalex.org/W2134603844","https://openalex.org/W2137983211","https://openalex.org/W3207342693","https://openalex.org/W6679935922","https://openalex.org/W7023653924"],"related_works":["https://openalex.org/W1987504169","https://openalex.org/W2015517331","https://openalex.org/W3146965950","https://openalex.org/W2089434914","https://openalex.org/W2618322250","https://openalex.org/W2072057046","https://openalex.org/W2098841127","https://openalex.org/W2040604977","https://openalex.org/W2043923634","https://openalex.org/W4285165247"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,49,107],"novel":[4],"learning":[5,25,94],"algorithm":[6,26,33,57,73],"of":[7,17,27,38,59,83,118,133],"Binary":[8],"Feedforward":[9],"Neural":[10],"Networks":[11],"(BFNNs)":[12],"by":[13,106],"combining":[14],"the":[15,24,36,63,69,72,75,81,84,87,93,97,100,116,119,123,129,134],"self-adaptations":[16],"both":[18],"architecture":[19],"and":[20,41,65,78,121,131],"weight.":[21],"Similar":[22],"to":[23,44,91,114],"Extreme":[28],"Learning":[29,89],"Machine":[30],"(ELM),":[31],"our":[32],"only":[34],"adapts":[35],"number":[37],"hidden":[39,51,76,103],"neurons":[40,77,104],"output":[42,85],"weights":[43],"effectively":[45],"train":[46],"BFNNs":[47],"with":[48],"single":[50],"layer":[52],"for":[53],"classification":[54],"problems.":[55],"The":[56],"consists":[58],"two":[60],"steps":[61],"including":[62],"expanding":[64,70],"pruning":[66,98],"phases.":[67],"During":[68],"phase,":[71,99],"increases":[74],"also":[79],"searches":[80],"weight":[82],"neuronusing":[86],"Perceptron":[88],"Rule":[90],"increase":[92,122],"accuracy.":[95],"In":[96],"least":[101],"relevant":[102],"measured":[105],"proposed":[108,135],"binary":[109],"neuron's":[110],"sensitivity":[111],"are":[112],"pruned":[113],"reduce":[115],"complexity":[117],"model":[120],"generalization":[124],"ability.":[125],"Experimental":[126],"results":[127],"confirmed":[128],"feasibility":[130],"effectiveness":[132],"algorithm.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
