{"id":"https://openalex.org/W2126243706","doi":"https://doi.org/10.1109/ijcnn.2009.5178654","title":"Genetic algorithm for reservoir computing optimization","display_name":"Genetic algorithm for reservoir computing optimization","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2126243706","doi":"https://doi.org/10.1109/ijcnn.2009.5178654","mag":"2126243706"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001497831","display_name":"Aida A. Ferreira","orcid":"https://orcid.org/0000-0002-0322-6801"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I2800363144","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Pernambuco","ror":"https://ror.org/02y7zaj23","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I2800363144","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aida A. Ferreira","raw_affiliation_strings":["Federal Center of Technologic Education of Pernambuco, Cidade Universit\u00e1ria, Recife, Pernambuco, Brazil","Federal Center of Technologic Education of Pernambuco, Av Professor Luis Freire, 500, Cidade Universit\u00e1ria, Cep:50.740-530 - Recife - PE - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Center of Technologic Education of Pernambuco, Cidade Universit\u00e1ria, Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270","https://openalex.org/I2800363144"]},{"raw_affiliation_string":"Federal Center of Technologic Education of Pernambuco, Av Professor Luis Freire, 500, Cidade Universit\u00e1ria, Cep:50.740-530 - Recife - PE - Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025550530","display_name":"Teresa B. Ludermir","orcid":"https://orcid.org/0000-0002-8980-6742"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Teresa B. Ludermir","raw_affiliation_strings":["Center of Informatics (CIn), Federal University of Pernambuco, Recife, Pernambuco, Brazil","Center of Informatics (CIn), Federal University of Pernambuco (UFPE), P.O. Box 7851, Cidade Universit\u00e1ria, Cep: 50.740-530 - Recife - PE - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Informatics (CIn), Federal University of Pernambuco, Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics (CIn), Federal University of Pernambuco (UFPE), P.O. Box 7851, Cidade Universit\u00e1ria, Cep: 50.740-530 - Recife - PE - Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7311,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.70227708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"811","last_page":"815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.8990583419799805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798008918762207},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6766812205314636},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.573599100112915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5426254272460938},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.5196563005447388},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4618277847766876},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4367217421531677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42727187275886536},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41302067041397095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34613001346588135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25353652238845825},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.23915895819664001},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09287545084953308},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06488561630249023}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.8990583419799805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798008918762207},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6766812205314636},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.573599100112915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5426254272460938},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.5196563005447388},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4618277847766876},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4367217421531677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42727187275886536},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41302067041397095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34613001346588135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25353652238845825},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.23915895819664001},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09287545084953308},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06488561630249023},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1517692491","https://openalex.org/W1559956479","https://openalex.org/W1607768087","https://openalex.org/W1665215014","https://openalex.org/W1996940434","https://openalex.org/W2034227763","https://openalex.org/W2036451492","https://openalex.org/W2102248717","https://openalex.org/W2103179919","https://openalex.org/W2104208414","https://openalex.org/W2115129628","https://openalex.org/W2117103364","https://openalex.org/W2118706537","https://openalex.org/W2123716044","https://openalex.org/W2137669384","https://openalex.org/W2137783571","https://openalex.org/W6630846254","https://openalex.org/W6633512548","https://openalex.org/W6680246578","https://openalex.org/W7034522702"],"related_works":["https://openalex.org/W2031035514","https://openalex.org/W1981084155","https://openalex.org/W2386922710","https://openalex.org/W2350523565","https://openalex.org/W2393028097","https://openalex.org/W3182481902","https://openalex.org/W1483787881","https://openalex.org/W2073617574","https://openalex.org/W2130815404","https://openalex.org/W1988325824"],"abstract_inverted_index":{"This":[0,68],"paper":[1],"presents":[2],"reservoir":[3,31,36],"computing":[4,10],"optimization":[5],"using":[6,16,65],"genetic":[7,66],"algorithm.":[8,67],"Reservoir":[9,24],"is":[11,32],"a":[12,56,73],"new":[13],"paradigm":[14],"for":[15,84],"artificial":[17],"neural":[18],"networks.":[19],"Despite":[20],"its":[21],"promising":[22],"performance,":[23],"Computing":[25],"has":[26],"still":[27],"some":[28],"drawbacks:":[29],"the":[30,35,48,51,60,85,95,104],"created":[33],"randomly;":[34],"needs":[37],"to":[38,42,45,58,99],"be":[39,43],"large":[40],"enough":[41],"able":[44],"capture":[46],"all":[47],"features":[49],"of":[50,62,76,82,94,103],"data.":[52],"We":[53],"propose":[54],"here":[55],"method":[57,69],"optimize":[59],"choice":[61],"global":[63,87],"parameters":[64,88],"was":[70,91],"applied":[71],"on":[72],"real":[74],"problem":[75],"time":[77,81],"series":[78],"forecasting.":[79],"The":[80],"search":[83,102],"best":[86],"with":[89],"GA":[90],"just":[92],"22.22%":[93],"time-":[96],"consuming":[97],"task":[98],"an":[100],"exhausting":[101],"same":[105],"parameters.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
