{"id":"https://openalex.org/W7147077665","doi":"https://doi.org/10.1109/icvisp68610.2025.11451697","title":"A New Implementation Form of Optical Neural Network based on Broad Learning Model","display_name":"A New Implementation Form of Optical Neural Network based on Broad Learning Model","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147077665","doi":"https://doi.org/10.1109/icvisp68610.2025.11451697"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5103214075","display_name":"Tiancheng Wu","orcid":"https://orcid.org/0009-0004-4850-0896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiancheng Wu","raw_affiliation_strings":["Research and Development Institute Northwestern Polytechnical University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute Northwestern Polytechnical University,Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455256","display_name":"Tao Li","orcid":"https://orcid.org/0000-0001-8966-7239"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132546897","display_name":"Wei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130296","display_name":"Detector Technology (United States)","ror":"https://ror.org/03j0tz946","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130296"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Beijing Institute of Space Mechanics and Electricity,Department of Imaging Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Space Mechanics and Electricity,Department of Imaging Technology,Beijing,China","institution_ids":["https://openalex.org/I4210130296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359414","display_name":"Hong Yang","orcid":"https://orcid.org/0000-0001-8929-9077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic and Information,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic and Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054622669","display_name":"Jisen Shi","orcid":"https://orcid.org/0009-0003-9445-4416"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao Shi","raw_affiliation_strings":["Research and Development Institute Northwestern Polytechnical University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute Northwestern Polytechnical University,Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621012","display_name":"Yu Lei","orcid":"https://orcid.org/0000-0001-9892-4460"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Lei","raw_affiliation_strings":["Research and Development Institute Northwestern Polytechnical University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute Northwestern Polytechnical University,Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103214075"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87262911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9142000079154968,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9142000079154968,"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":0.03519999980926514,"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":0.007899999618530273,"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/robustness","display_name":"Robustness (evolution)","score":0.6801000237464905},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6090999841690063},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.382999986410141},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.37950000166893005},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.3662000000476837},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36340001225471497},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.3467000126838684},{"id":"https://openalex.org/keywords/systems-architecture","display_name":"Systems architecture","score":0.32100000977516174}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6801000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313999891281128},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6090999841690063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42100000381469727},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.41920000314712524},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3578000068664551},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C113608303","wikidata":"https://www.wikidata.org/wiki/Q1056835","display_name":"Transmission system","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26600000262260437},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100251197814941,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2345562294","https://openalex.org/W2738226240","https://openalex.org/W2752849906","https://openalex.org/W2887258823","https://openalex.org/W2887566712","https://openalex.org/W3003622071","https://openalex.org/W3018927243","https://openalex.org/W3027609774","https://openalex.org/W3081028044","https://openalex.org/W3132667656","https://openalex.org/W3159854664","https://openalex.org/W4360612389","https://openalex.org/W4400074139"],"related_works":[],"abstract_inverted_index":{"Optical":[0],"neural":[1,45],"network":[2],"(ONN)":[3],"systems":[4,58,157,213],"are":[5],"receiving":[6],"increasing":[7],"attention":[8],"from":[9],"researchers":[10],"based":[11,107],"on":[12,108,161,192],"their":[13],"rapid":[14],"transmission":[15],"speed,":[16,50],"substantial":[17],"information":[18,185],"capacity,":[19],"high":[20],"parallelism,":[21],"and":[22,53,73,81,184,205],"robustness":[23],"against":[24],"interference.":[25],"These":[26],"qualities":[27],"position":[28],"ONNs":[29],"as":[30,48],"a":[31,103,121,127,133],"promising":[32],"solution":[33],"to":[34,79,92,210],"overcome":[35],"the":[36,75,109,137,144,176,189,197],"physical":[37],"constraints":[38],"faced":[39],"by":[40,61],"von":[41],"Neumann":[42],"architecture-based":[43],"electronic":[44],"networks,":[46],"such":[47],"processing":[49],"energy":[51],"consumption,":[52],"bandwidth":[54],"limitations.":[55],"Traditional":[56],"ONN":[57,116,124,156,166,201,212],"improve":[59],"performance":[60,160,208],"cascading":[62],"optical":[63,123,129,146,200],"devices.":[64],"However,":[65],"this":[66],"approach":[67],"introduces":[68],"errors":[69,83,194],"at":[70],"each":[71],"layer":[72],"renders":[74],"system":[76,112,147,179],"highly":[77],"sensitive":[78],"alignment":[80],"manufacturing":[82],"of":[84],"individual":[85],"components.":[86],"Consequently,":[87],"model":[88],"building":[89],"times":[90],"tend":[91],"be":[93],"relatively":[94],"lengthy.":[95],"To":[96],"address":[97],"these":[98],"challenges,":[99],"we":[100],"have":[101],"developed":[102],"novel":[104,198],"approach,":[105],"BLS-ONN,":[106],"broad":[110],"learning":[111],"(BLS)":[113],"theory":[114],"for":[115],"systems.":[117,167],"Our":[118],"method":[119],"constructs":[120],"spatial":[122,199],"architecture":[125,141,202],"using":[126],"shallow-width":[128],"diffraction":[130],"structure,":[131],"marking":[132],"significant":[134],"advancement":[135],"in":[136,154],"field.":[138],"The":[139],"proposed":[140,177],"perfectly":[142],"avoids":[143],"inherent":[145],"error":[148],"issues":[149],"associated":[150],"with":[151,163],"deep":[152],"cascades":[153],"traditional":[155,211],"while":[158],"ensuring":[159],"par":[162],"baseline":[164],"cascaded":[165],"Experimental":[168],"results":[169],"across":[170],"two":[171],"different":[172],"tasks":[173],"demonstrate":[174],"that":[175,196],"BLS-ONN":[178],"exhibits":[180],"superior":[181,206],"feature":[182],"extraction":[183],"retention":[186],"capabilities.":[187],"Additionally,":[188],"test":[190],"conducted":[191],"misalignment":[193],"proves":[195],"has":[203],"sufficient":[204],"anti-noise":[207],"compared":[209]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}
