{"id":"https://openalex.org/W4401337408","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611809","title":"Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm","display_name":"Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401337408","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611809"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10611809","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5103129777","display_name":"Piotr A. Kowalski","orcid":"https://orcid.org/0000-0003-4041-6900"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Piotr A. Kowalski","raw_affiliation_strings":["AGH University of Krakow al. Mickiewicza 30,Faculty of Physics and Applied Computer Science,Kraków,Poland,30-059"],"affiliations":[{"raw_affiliation_string":"AGH University of Krakow al. Mickiewicza 30,Faculty of Physics and Applied Computer Science,Kraków,Poland,30-059","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085635790","display_name":"Tomasz Sloczynski","orcid":null},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Sloczynski","raw_affiliation_strings":["AGH University of Krakow al. Mickiewicza 30,Faculty of Physics and Applied Computer Science,Kraków,Poland,30-059"],"affiliations":[{"raw_affiliation_string":"AGH University of Krakow al. Mickiewicza 30,Faculty of Physics and Applied Computer Science,Kraków,Poland,30-059","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103129777"],"corresponding_institution_ids":["https://openalex.org/I126596746","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10376151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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":0.9976999759674072,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9926000237464905,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.748396635055542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033698320388794},{"id":"https://openalex.org/keywords/flip-flop","display_name":"Flip-flop","score":0.5947675704956055},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5666912198066711},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.548322319984436},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4905347228050232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4339959919452667},{"id":"https://openalex.org/keywords/memetics","display_name":"Memetics","score":0.4337174892425537},{"id":"https://openalex.org/keywords/saturation","display_name":"Saturation (graph theory)","score":0.4171893894672394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.376176118850708},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34291785955429077},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.2670432925224304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20987409353256226}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.748396635055542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033698320388794},{"id":"https://openalex.org/C2781007278","wikidata":"https://www.wikidata.org/wiki/Q183406","display_name":"Flip-flop","level":3,"score":0.5947675704956055},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5666912198066711},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.548322319984436},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4905347228050232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339959919452667},{"id":"https://openalex.org/C51620047","wikidata":"https://www.wikidata.org/wiki/Q23399","display_name":"Memetics","level":2,"score":0.4337174892425537},{"id":"https://openalex.org/C9930424","wikidata":"https://www.wikidata.org/wiki/Q7426587","display_name":"Saturation (graph theory)","level":2,"score":0.4171893894672394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.376176118850708},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34291785955429077},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2670432925224304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20987409353256226},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10611809","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":16,"referenced_works":["https://openalex.org/W147307174","https://openalex.org/W982563554","https://openalex.org/W1599746992","https://openalex.org/W2044967872","https://openalex.org/W2096544321","https://openalex.org/W2116152969","https://openalex.org/W2135230399","https://openalex.org/W2141803445","https://openalex.org/W2151471048","https://openalex.org/W2151818015","https://openalex.org/W2168832627","https://openalex.org/W2240288625","https://openalex.org/W3120740533","https://openalex.org/W4226070509","https://openalex.org/W4295768100","https://openalex.org/W4388516520"],"related_works":["https://openalex.org/W2056356393","https://openalex.org/W2904131175","https://openalex.org/W115040951","https://openalex.org/W4242383018","https://openalex.org/W2077418700","https://openalex.org/W2102350580","https://openalex.org/W2008607212","https://openalex.org/W2095089069","https://openalex.org/W4211189042","https://openalex.org/W4211145153"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,65,81],"efficacy":[4],"of":[5,51,60,83],"learning":[6,75],"algorithms":[7,48,86],"for":[8,93,102],"training":[9],"Fuzzy":[10,89],"Flip-Flop":[11,90],"Neural":[12,91],"Networks,":[13],"focusing":[14],"on":[15,74],"Particle":[16],"Swarm":[17],"Optimization":[18],"(PSO)":[19],"and":[20,37,54],"memetic":[21,42,66,84],"PSO":[22,43,67,85],"variants.":[23],"The":[24,58],"study":[25],"explores":[26],"their":[27,72,100],"performance":[28],"across":[29],"diverse":[30],"datasets,":[31,98],"including":[32],"Breast":[33],"Cancer":[34],"Wisconsin,":[35],"Seeds,":[36],"Glass.":[38],"Results":[39],"demonstrate":[40],"that":[41],"variants,":[44],"consistently":[45],"outperform":[46],"other":[47],"in":[49,87],"terms":[50],"classification":[52,94],"accuracy":[53],"reduced":[55],"saturation":[56],"levels.":[57],"examination":[59],"different":[61],"crossover":[62],"strategies":[63],"within":[64],"framework":[68],"provides":[69],"insights":[70],"into":[71],"impact":[73],"performance.":[76],"Overall,":[77],"this":[78],"research":[79],"highlights":[80],"superiority":[82],"optimising":[88],"Networks":[92],"tasks":[95],"with":[96],"complex":[97],"suggesting":[99],"potential":[101],"broader":[103],"applications.":[104]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}