{"id":"https://openalex.org/W2734446318","doi":"https://doi.org/10.1109/ijcnn.2017.7966387","title":"Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification","display_name":"Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734446318","doi":"https://doi.org/10.1109/ijcnn.2017.7966387","mag":"2734446318"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5091794040","display_name":"Javier Echanobe","orcid":"https://orcid.org/0000-0002-1064-2555"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J. Echanobe","raw_affiliation_strings":["Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain"],"affiliations":[{"raw_affiliation_string":"Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077493865","display_name":"I. del Campo","orcid":"https://orcid.org/0000-0002-6378-5357"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"I. del Campo","raw_affiliation_strings":["Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain"],"affiliations":[{"raw_affiliation_string":"Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086255356","display_name":"V. Sanchez Martinez","orcid":"https://orcid.org/0009-0006-3419-4132"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victoria Martinez","raw_affiliation_strings":["Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain"],"affiliations":[{"raw_affiliation_string":"Dep. Electricity and Electronics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010198168","display_name":"Koldo Basterretxea","orcid":"https://orcid.org/0000-0002-5934-4735"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"K. Basterretxea","raw_affiliation_strings":["Dep. Electronic Technology, University of the Basque Country (UPV/EHU), Bilbao, Basque Country, Spain"],"affiliations":[{"raw_affiliation_string":"Dep. Electronic Technology, University of the Basque Country (UPV/EHU), Bilbao, Basque Country, Spain","institution_ids":["https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091794040"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75227759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4202","last_page":"4207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"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/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7925273180007935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624226808547974},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.745699942111969},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.644219160079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5880239605903625},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5578095316886902},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5465121865272522},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5244536399841309},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5008172988891602},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4936622083187103},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4813850224018097},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44091659784317017},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.42387205362319946},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41177552938461304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21229472756385803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09834855794906616}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7925273180007935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624226808547974},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.745699942111969},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.644219160079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5880239605903625},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5578095316886902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5465121865272522},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5244536399841309},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5008172988891602},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4936622083187103},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4813850224018097},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44091659784317017},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.42387205362319946},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41177552938461304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21229472756385803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09834855794906616},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1601538959","https://openalex.org/W2009286595","https://openalex.org/W2026131661","https://openalex.org/W2060173047","https://openalex.org/W2085348615","https://openalex.org/W2087263574","https://openalex.org/W2096553553","https://openalex.org/W2097238823","https://openalex.org/W2111072639","https://openalex.org/W2126105956","https://openalex.org/W2131697388","https://openalex.org/W4250857377"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907"],"abstract_inverted_index":{"Hyperspectral":[0],"remote":[1],"sensing":[2],"is":[3,158],"becoming":[4],"an":[5,131],"active":[6],"research":[7],"field":[8],"in":[9,37],"the":[10,15,25,39,50,55,76,79,84,87,96,106,109,113,116,138,145],"last":[11],"decades":[12],"thanks":[13],"to":[14,24,49,54,64,74,82,103],"availability":[16],"of":[17,41,44,78,86,98,108,115,140,147],"efficient":[18],"machine":[19,88,117],"learning":[20,89,118],"algorithms":[21],"and":[22,112,144],"also":[23],"ever-increasing":[26],"computation":[27],"power.":[28],"However,":[29],"there":[30],"exist":[31],"application":[32],"domains":[33],"(e.g.,":[34],"embedded":[35],"applications)":[36],"which":[38,137],"deployment":[40],"this":[42,66,92],"kind":[43],"systems":[45],"becomes":[46],"unfeasible":[47],"due":[48],"high":[51],"requirements":[52],"related":[53],"size,":[56],"power":[57],"consumption":[58],"or":[59],"processing":[60],"speed.":[61],"A":[62],"way":[63],"overcome":[65],"trouble":[67],"consists":[68],"on":[69,130],"using":[70,161],"any":[71],"method":[72],"able":[73],"scale-down":[75],"dimensionality":[77],"problem":[80],"and/or":[81],"reduce":[83],"complexity":[85],"models.":[90],"In":[91,120],"paper,":[93],"we":[94,122],"propose":[95],"use":[97],"a":[99,125,162],"multiobjective":[100],"genetic":[101],"algorithm":[102],"minimize":[104],"both":[105],"dimension":[107],"input":[110],"space":[111],"size":[114],"model.":[119],"particular,":[121],"have":[123],"developed":[124],"hyperspectral":[126],"image":[127],"classifier":[128],"based":[129],"Extreme":[132],"Learning":[133],"Machine":[134],"(ELM)":[135],"for":[136],"number":[139,146],"system":[141,157],"inputs":[142],"(dimensionality)":[143],"hidden":[148],"neurons":[149],"are":[150],"minimized":[151],"without":[152],"decreasing":[153],"its":[154],"performance.":[155],"The":[156],"evaluated":[159],"by":[160],"known":[163],"benchmark":[164],"dataset.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
