{"id":"https://openalex.org/W1593564458","doi":"https://doi.org/10.1109/ijcnn.2005.1555903","title":"Artificial neural network computation on graphic process unit","display_name":"Artificial neural network computation on graphic process unit","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1593564458","doi":"https://doi.org/10.1109/ijcnn.2005.1555903","mag":"1593564458"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555903","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/A5102315481","display_name":"Zhongwen Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongwen Luo","raw_affiliation_strings":["Faculty of Information, China University of Geoscience, Wuhan, China","Fac. of Inf., China Univ. of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Fac. of Inf., China Univ. of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679043","display_name":"Hongzhi Liu","orcid":"https://orcid.org/0000-0001-7102-6855"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Liu","raw_affiliation_strings":["Faculty of Information, China University of Geoscience, Wuhan, China","Fac. of Inf., China Univ. of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Fac. of Inf., China Univ. of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100807566","display_name":"Xincai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xincai Wu","raw_affiliation_strings":["Faculty of Information, China University of Geoscience, Wuhan, China","Fac. of Inf., China Univ. of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Fac. of Inf., China Univ. of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102315481"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":4.4871,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.95690259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"2","issue":null,"first_page":"622","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9437999725341797,"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":0.9437999725341797,"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":0.7503176927566528},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6761952638626099},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5877820253372192},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5514291524887085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47932136058807373},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.4621070325374603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1456460952758789},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12844467163085938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06614699959754944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503176927566528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6761952638626099},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5877820253372192},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5514291524887085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47932136058807373},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.4621070325374603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1456460952758789},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12844467163085938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06614699959754944},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555903","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":[{"display_name":"Affordable and clean energy","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1548638602","https://openalex.org/W1679913846","https://openalex.org/W1969067576","https://openalex.org/W2169706611","https://openalex.org/W2988817687","https://openalex.org/W4237222446","https://openalex.org/W4241667468"],"related_works":["https://openalex.org/W2354062721","https://openalex.org/W2386387936","https://openalex.org/W2908068254","https://openalex.org/W1534842550","https://openalex.org/W2142669026","https://openalex.org/W2039543614","https://openalex.org/W1572523360","https://openalex.org/W2375463041","https://openalex.org/W1587906417","https://openalex.org/W2352648941"],"abstract_inverted_index":{"Artificial":[0],"neural":[1,129],"network":[2,130],"(ANN)":[3],"is":[4,18,27,31,47,55,99,106,120,131],"widely":[5],"used":[6,56],"in":[7,21],"pattern":[8],"recognition":[9],"related":[10],"area.":[11],"In":[12,50,64,82],"some":[13,134],"case,":[14,23],"the":[15,43,60,100,104,128,139],"computational":[16],"load":[17],"very":[19],"heavy,":[20],"other":[22,105],"real":[24],"time":[25],"process":[26],"required.":[28],"So":[29],"there":[30],"a":[32,36],"need":[33],"to":[34,57],"apply":[35],"parallel":[37],"algorithm":[38],"on":[39,80,118,124,141],"it,":[40],"and":[41],"usually":[42],"computation":[44,61,112],"for":[45,90,137],"ANN":[46,94,116],"inherently":[48],"parallel.":[49],"this":[51,83],"paper,":[52,84],"graphic":[53,67],"hardware":[54,76],"speed":[58],"up":[59],"of":[62,86,93],"ANN.":[63],"recent":[65],"years,":[66],"processing":[68],"unit":[69],"(GPU)":[70],"grows":[71],"faster":[72,122],"than":[73,123],"CPU.":[74],"Graphic":[75],"venders":[77],"provide":[78],"programmability":[79],"GPU.":[81],"application":[85],"commodity":[87],"available":[88],"GPU":[89,119,142],"two":[91],"kinds":[92],"models":[95],"was":[96],"explored.":[97],"One":[98],"self-organizing":[101],"maps":[102],"(SOM);":[103],"multi":[107],"layer":[108],"perceptron":[109],"(MLP).":[110],"The":[111],"result":[113],"shows":[114],"that":[115],"computing":[117],"much":[121],"standard":[125],"CPU":[126],"when":[127],"large.":[132],"And":[133],"design":[135],"rules":[136],"improve":[138],"efficiency":[140],"are":[143],"given.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
