{"id":"https://openalex.org/W2757033171","doi":"https://doi.org/10.15439/2017f552","title":"Direct Potentiality Assimilation for Improving Multi-Layered Neural Networks","display_name":"Direct Potentiality Assimilation for Improving Multi-Layered Neural Networks","publication_year":2017,"publication_date":"2017-09-24","ids":{"openalex":"https://openalex.org/W2757033171","doi":"https://doi.org/10.15439/2017f552","mag":"2757033171"},"language":"en","primary_location":{"id":"doi:10.15439/2017f552","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f552","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/552.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2017/drp/pdf/552.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079603834","display_name":"Ryotaro Kamimura","orcid":"https://orcid.org/0000-0002-4238-3463"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryotaro Kamimura","raw_affiliation_strings":["IT Education Center, Tokai Univerisity 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Education Center, Tokai Univerisity 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan","institution_ids":["https://openalex.org/I1314466530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079603834"],"corresponding_institution_ids":["https://openalex.org/I1314466530"],"apc_list":null,"apc_paid":null,"fwci":1.3842,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86373813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"19","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9961000084877014,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9929999709129333,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7616435885429382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831951141357422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6454726457595825},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5575677156448364},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5181164145469666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5142340064048767},{"id":"https://openalex.org/keywords/assimilation","display_name":"Assimilation (phonology)","score":0.505542516708374},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48997870087623596},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4607014060020447},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.44765788316726685},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41427624225616455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14891290664672852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06940969824790955}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7616435885429382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831951141357422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454726457595825},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5575677156448364},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5181164145469666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5142340064048767},{"id":"https://openalex.org/C75649859","wikidata":"https://www.wikidata.org/wiki/Q148877","display_name":"Assimilation (phonology)","level":2,"score":0.505542516708374},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48997870087623596},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4607014060020447},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.44765788316726685},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41427624225616455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14891290664672852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06940969824790955},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15439/2017f552","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f552","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/552.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.15439/2017f552","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f552","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/552.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2757033171.pdf","grobid_xml":"https://content.openalex.org/works/W2757033171.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W158805393","https://openalex.org/W1457602677","https://openalex.org/W1825675169","https://openalex.org/W1986178142","https://openalex.org/W1990606352","https://openalex.org/W1995875735","https://openalex.org/W2063046703","https://openalex.org/W2076063813","https://openalex.org/W2079145130","https://openalex.org/W2094558429","https://openalex.org/W2095705004","https://openalex.org/W2102131386","https://openalex.org/W2122925692","https://openalex.org/W2123806929","https://openalex.org/W2125644289","https://openalex.org/W2132424367","https://openalex.org/W2144212877","https://openalex.org/W2144914634","https://openalex.org/W2169053895","https://openalex.org/W2249286871","https://openalex.org/W2342611082","https://openalex.org/W2516459222","https://openalex.org/W2533120240","https://openalex.org/W2552652437","https://openalex.org/W2978725006","https://openalex.org/W3120740533","https://openalex.org/W4230742466","https://openalex.org/W4253141840","https://openalex.org/W6648982606","https://openalex.org/W6669567237","https://openalex.org/W6670096302","https://openalex.org/W6673999079","https://openalex.org/W6678112657","https://openalex.org/W7019941563"],"related_works":["https://openalex.org/W4313320911","https://openalex.org/W4327743144","https://openalex.org/W4245077728","https://openalex.org/W2607424049","https://openalex.org/W4390922876","https://openalex.org/W3183204001","https://openalex.org/W3162204513","https://openalex.org/W4206302830","https://openalex.org/W2185941092","https://openalex.org/W4386782890"],"abstract_inverted_index":{"The":[0,23,113,140],"present":[1],"paper":[2],"aims":[3],"to":[4,11,29,37,52,82,135,145,171],"propose":[5],"a":[6],"new":[7,141,181],"potential":[8,24,107,111,115],"learning":[9,25,108],"method":[10,142,182],"overcome":[12,101],"the":[13,43,58,74,86,90,97,106,119,126,146,156,165,172,180,190,194],"problem":[14],"of":[15,33,45,60,128,158,175],"collective":[16,75],"interpretation":[17,59,76],"for":[18,77],"interpreting":[19],"multi-layered":[20,78,137],"neural":[21,34,54,79,138],"networks.":[22,139],"has":[26,49],"been":[27,50],"introduced":[28],"detect":[30],"important":[31],"components":[32],"networks":[35,55,80],"and":[36,56],"train":[38],"them,":[39],"taking":[40],"into":[41],"account":[42],"importance":[44],"components.":[46],"Recently,":[47],"it":[48,131,152],"applied":[51,124,133,144],"multilayered":[53],"then":[57],"input":[61],"neurons":[62],"or":[63],"variables":[64],"can":[65],"be":[66,83,162],"possible":[67],"by":[68,193],"collectively":[69],"treating":[70],"intermediate":[71],"layers.":[72],"However,":[73],"tends":[81],"instable,":[84],"because":[85],"potentialities":[87],"computed":[88],"in":[89,96,125],"pre-training":[91,129],"become":[92],"different":[93],"from":[94],"those":[95],"main":[98],"training.":[99],"To":[100],"this":[102],"problem,":[103],"we":[104],"introduce":[105],"with":[109],"direct":[110,114],"assimilation.":[112],"assimilation":[116,121],"means":[117],"that":[118,155],"potentiality":[120,167],"is":[122,132],"not":[123],"phase":[127],"but":[130],"directly":[134],"training":[136],"was":[143,153,168],"student":[147],"evaluation":[148],"data":[149],"set.":[150],"Then,":[151,164],"observed":[154],"selectivity":[157],"connection":[159],"weights":[160],"could":[161,183],"increased.":[163],"input-output":[166],"quite":[169],"similar":[170],"regression":[173,177,191,196],"coefficients":[174,192],"logistic":[176,195],"analysis.":[178],"Finally,":[179],"extract":[184],"more":[185],"explicitly":[186],"inputoutput":[187],"relations":[188],"than":[189],"analysis,":[197],"while":[198],"improving":[199],"generalization":[200],"performance.":[201]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
