{"id":"https://openalex.org/W2785879317","doi":"https://doi.org/10.1109/ssci.2017.8285328","title":"The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT","display_name":"The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785879317","doi":"https://doi.org/10.1109/ssci.2017.8285328","mag":"2785879317"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2017.8285328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5004119249","display_name":"Evgenia Papavasileiou","orcid":"https://orcid.org/0000-0002-8687-2808"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]},{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Evgenia Papavasileiou","raw_affiliation_strings":["Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium","imec, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059882142","display_name":"Bart Jansen","orcid":"https://orcid.org/0000-0001-8042-6834"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]},{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Jansen","raw_affiliation_strings":["Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium","imec, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004119249"],"corresponding_institution_ids":["https://openalex.org/I13469542","https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":0.9751,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82918046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9979000091552734,"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":0.9927999973297119,"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/neuroevolution","display_name":"Neuroevolution","score":0.8223761320114136},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4893748164176941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4160154163837433},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3231852352619171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2925710380077362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28246015310287476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24106186628341675},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11351087689399719},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.08518034219741821}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.8223761320114136},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4893748164176941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4160154163837433},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3231852352619171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2925710380077362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28246015310287476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24106186628341675},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11351087689399719},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.08518034219741821}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci.2017.8285328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:112653","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/the-importance-of-the-activation-function-in-neuroevolution-with-fsneat-and-fdneat(5d901d8f-8329-4cdc-b100-7fb31c6a6360).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W25914020","https://openalex.org/W44465109","https://openalex.org/W107370486","https://openalex.org/W150571132","https://openalex.org/W335176846","https://openalex.org/W1970848871","https://openalex.org/W1971259134","https://openalex.org/W1976294505","https://openalex.org/W1977212008","https://openalex.org/W2020399841","https://openalex.org/W2071441967","https://openalex.org/W2096232175","https://openalex.org/W2100097207","https://openalex.org/W2111935653","https://openalex.org/W2124290836","https://openalex.org/W2138431811","https://openalex.org/W2142256019","https://openalex.org/W2149110629","https://openalex.org/W2162813238","https://openalex.org/W2584017349","https://openalex.org/W2588242161","https://openalex.org/W2605216006","https://openalex.org/W2734473668","https://openalex.org/W2998216295","https://openalex.org/W4232977802","https://openalex.org/W4285719527","https://openalex.org/W6601044788","https://openalex.org/W6601814988","https://openalex.org/W6604365512","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3098582471","https://openalex.org/W4312341257","https://openalex.org/W1514215184","https://openalex.org/W2080859933","https://openalex.org/W1983240220","https://openalex.org/W2371785520","https://openalex.org/W2946320468","https://openalex.org/W4308431627","https://openalex.org/W3215097896","https://openalex.org/W1970004836"],"abstract_inverted_index":{"The":[0,125,154],"majority":[1],"of":[2,12,15,23,46,54,68,96,109,112,115,121,128],"existing":[3],"NeuroEvolutionary":[4],"algorithms":[5,176],"optimize":[6,62],"the":[7,10,13,21,30,40,63,66,94,97,122,162,169],"connectivity":[8],"and":[9,50,65,81,102,104,119,143,165,182],"topology":[11,64],"nodes":[14],"Artificial":[16],"Neural":[17],"Networks":[18],"(ANNs).":[19],"However,":[20],"architecture":[22],"an":[24],"ANN":[25],"is":[26],"also":[27],"defined":[28],"on":[29,85],"nodes'":[31],"activation":[32,87,98,129],"functions":[33,130,167],"which":[34],"play":[35],"a":[36],"significant":[37],"role":[38],"in":[39,89,100,107,161,168],"network's":[41],"performance.":[42],"Feature":[43,51],"Selective":[44],"NeuroEvolution":[45,53],"Augmenting":[47,55],"Topologies":[48,56],"(FS-NEAT)":[49],"Deselective":[52],"(FD-NEAT)":[57],"are":[58,83,131,145,178],"two":[59],"methods":[60],"that":[61,157,177],"weights":[67],"ANNs,":[69],"while":[70,141],"simultaneously":[71],"performing":[72,116],"feature":[73,117,191],"selection.":[74],"Since":[75],"no":[76],"study":[77,91],"exists":[78],"where":[79],"FD-NEAT":[80,103,142],"FS-NEAT":[82,101,144],"employed":[84],"different":[86,126],"functions,":[88],"this":[90],"we":[92],"investigate":[93],"importance":[95],"function":[99],"its":[105],"influence":[106],"terms":[108],"accuracy,":[110],"number":[111],"generations,":[113],"ability":[114],"selection":[118,192],"size":[120],"evolved":[123],"networks.":[124],"settings":[127],"compared":[132,146],"using":[133,147],"Kruskal-Wallis":[134],"hypothesis":[135,151],"tests":[136,152],"with":[137,189],"Bonferroni":[138],"correction":[139],"(p<;0.01),":[140],"Wilcoxon":[148],"rank":[149],"sum":[150],"(p<;0.01).":[153],"results":[155],"show":[156],"employing":[158],"hyperbolic":[159],"tangent":[160],"hidden":[163],"layer":[164,171],"Gaussian":[166],"output":[170],"delivers":[172],"significantly":[173,186],"more":[174,180],"efficient":[175],"faster,":[179],"accurate":[181],"able":[183],"to":[184],"evolve":[185],"smaller":[187],"ANNs":[188],"better":[190],"ability.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
