{"id":"https://openalex.org/W2068451222","doi":"https://doi.org/10.1109/iwcia.2013.6624789","title":"Interval-valued differential evolution for evolving neural networks with interval weights and biases","display_name":"Interval-valued differential evolution for evolving neural networks with interval weights and biases","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2068451222","doi":"https://doi.org/10.1109/iwcia.2013.6624789","mag":"2068451222"},"language":"en","primary_location":{"id":"doi:10.1109/iwcia.2013.6624789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2013.6624789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","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/A5036449815","display_name":"Hidehiko Okada","orcid":"https://orcid.org/0000-0001-7092-4979"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hidehiko Okada","raw_affiliation_strings":["Faculty of Computer Science and Engineering,, Kyoto Sangyo University, Kyoto, Japan","[Faculty of Computer Science and Engineering, Kyoto Sangyo University, Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering,, Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]},{"raw_affiliation_string":"[Faculty of Computer Science and Engineering, Kyoto Sangyo University, Kyoto, Japan]","institution_ids":["https://openalex.org/I168356945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036449815"],"corresponding_institution_ids":["https://openalex.org/I168356945"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76178171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9926999807357788,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9886999726295471,"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/interval","display_name":"Interval (graph theory)","score":0.8553805351257324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6769914031028748},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6519199013710022},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5924420952796936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49497145414352417},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.45091208815574646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4397997558116913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4216020703315735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34856805205345154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32178834080696106},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11260989308357239}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.8553805351257324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6769914031028748},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6519199013710022},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5924420952796936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49497145414352417},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.45091208815574646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4397997558116913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4216020703315735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34856805205345154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32178834080696106},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11260989308357239},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcia.2013.6624789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2013.6624789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1519230727","https://openalex.org/W2020342390","https://openalex.org/W2060924166","https://openalex.org/W2071974562","https://openalex.org/W2111935653","https://openalex.org/W2171658832","https://openalex.org/W3145801852","https://openalex.org/W6631084143","https://openalex.org/W6655197834"],"related_works":["https://openalex.org/W587735977","https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W1978142926","https://openalex.org/W2369178846","https://openalex.org/W3157395178","https://openalex.org/W2370289839","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W2071707387"],"abstract_inverted_index":{"The":[0,11],"ordinary":[1],"differential":[2],"evolution":[3,33],"(DE)":[4],"algorithm":[5],"employs":[6],"real-valued":[7],"vectors":[8],"as":[9],"genotypes.":[10,23],"author":[12],"previously":[13],"proposed":[14,28],"an":[15],"extension":[16],"of":[17,34],"DE":[18,49],"which":[19,54],"can":[20,50],"handle":[21],"interval-valued":[22],"In":[24],"this":[25],"paper,":[26],"the":[27,47],"method":[29],"is":[30,64],"applied":[31],"to":[32],"neural":[35,52],"networks":[36,53],"with":[37],"interval":[38,48,56],"connection":[39],"weights":[40],"and":[41],"biases.":[42],"Experimental":[43],"results":[44],"show":[45],"that":[46,60],"evolve":[51],"model":[55],"functions":[57],"well":[58],"despite":[59],"no":[61],"training":[62],"data":[63],"explicitly":[65],"provided.":[66]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}