{"id":"https://openalex.org/W3015402775","doi":"https://doi.org/10.1007/978-3-030-43722-0_35","title":"An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution","display_name":"An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015402775","doi":"https://doi.org/10.1007/978-3-030-43722-0_35","mag":"3015402775"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-43722-0_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-43722-0_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5065630093","display_name":"Travis Desell","orcid":"https://orcid.org/0000-0002-4082-0439"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Travis Desell","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013804148","display_name":"AbdElRahman ElSaid","orcid":"https://orcid.org/0000-0001-5218-6917"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"AbdElRahman ElSaid","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084332360","display_name":"Alexander G. Ororbia","orcid":"https://orcid.org/0000-0002-2590-1310"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G. Ororbia","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065630093"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.7505,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92152466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"546","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9957000017166138,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9957000017166138,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9937999844551086,"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":0.9883000254631042,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.9038856029510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8162785768508911},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6314822435379028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272094249725342},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5578756332397461},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5021398067474365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4907025098800659},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3763728737831116}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.9038856029510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162785768508911},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6314822435379028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272094249725342},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5578756332397461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5021398067474365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4907025098800659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3763728737831116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-43722-0_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-43722-0_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W118796026","https://openalex.org/W581956982","https://openalex.org/W836056349","https://openalex.org/W1498436455","https://openalex.org/W1525783482","https://openalex.org/W1541288193","https://openalex.org/W1815076433","https://openalex.org/W1899504021","https://openalex.org/W1924770834","https://openalex.org/W1989137448","https://openalex.org/W2029949252","https://openalex.org/W2064675550","https://openalex.org/W2101113449","https://openalex.org/W2101157892","https://openalex.org/W2103452139","https://openalex.org/W2104374672","https://openalex.org/W2107878631","https://openalex.org/W2111935653","https://openalex.org/W2111976170","https://openalex.org/W2119814172","https://openalex.org/W2133656308","https://openalex.org/W2150355110","https://openalex.org/W2151554678","https://openalex.org/W2194775991","https://openalex.org/W2319453305","https://openalex.org/W2346006176","https://openalex.org/W2593590602","https://openalex.org/W2606006859","https://openalex.org/W2626194254","https://openalex.org/W2751148689","https://openalex.org/W2767085287","https://openalex.org/W2792485748","https://openalex.org/W2810568190","https://openalex.org/W2939520374","https://openalex.org/W2963029020","https://openalex.org/W2963500514","https://openalex.org/W2963983719","https://openalex.org/W4237930056","https://openalex.org/W6603084313","https://openalex.org/W6604896550","https://openalex.org/W6605946209","https://openalex.org/W6695416183","https://openalex.org/W6743198006"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W3008584592"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}