{"id":"https://openalex.org/W1989261622","doi":"https://doi.org/10.1142/s0218127412500137","title":"AN APPLICATION OF SMALL-WORLD CELLULAR NEURAL NETWORKS ON ODOR CLASSIFICATION","display_name":"AN APPLICATION OF SMALL-WORLD CELLULAR NEURAL NETWORKS ON ODOR CLASSIFICATION","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1989261622","doi":"https://doi.org/10.1142/s0218127412500137","mag":"1989261622"},"language":"en","primary_location":{"id":"doi:10.1142/s0218127412500137","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218127412500137","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","raw_type":"journal-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/A5012848022","display_name":"Tuba Ayhan","orcid":"https://orcid.org/0000-0002-1447-0770"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"TUBA AYHAN","raw_affiliation_strings":["Electronics and Communication Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Maslak, TR-34469 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Maslak, TR-34469 Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074182981","display_name":"M\u00fc\u015ftak E. Yal\u00e7\u0131n","orcid":"https://orcid.org/0000-0003-3377-2560"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M\u00dc\u015eTAK E. YAL\u00c7IN","raw_affiliation_strings":["Electronics and Communication Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Maslak, TR-34469 Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Department, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Maslak, TR-34469 Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2071,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.55248328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"01","first_page":"1250013","last_page":"1250013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.7129722237586975},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.6494097113609314},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6362323760986328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132722496986389},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.46656763553619385},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4601602554321289},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44945070147514343},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.440641313791275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40899211168289185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14584589004516602},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08216729760169983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129722237586975},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.6494097113609314},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6362323760986328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132722496986389},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.46656763553619385},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4601602554321289},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44945070147514343},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.440641313791275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40899211168289185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14584589004516602},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08216729760169983},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218127412500137","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218127412500137","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","raw_type":"journal-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/43544","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/43544","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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":22,"referenced_works":["https://openalex.org/W1484610719","https://openalex.org/W1510182499","https://openalex.org/W1998744325","https://openalex.org/W2007209883","https://openalex.org/W2012421030","https://openalex.org/W2016354087","https://openalex.org/W2016934956","https://openalex.org/W2033758433","https://openalex.org/W2052424864","https://openalex.org/W2060315146","https://openalex.org/W2063872198","https://openalex.org/W2086869250","https://openalex.org/W2094067823","https://openalex.org/W2097186487","https://openalex.org/W2098275223","https://openalex.org/W2112090702","https://openalex.org/W2160121923","https://openalex.org/W2160938187","https://openalex.org/W2164225225","https://openalex.org/W2171281863","https://openalex.org/W2328416659","https://openalex.org/W4232667098"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W1988224651","https://openalex.org/W2096179639","https://openalex.org/W2099529706","https://openalex.org/W1982032334"],"abstract_inverted_index":{"Many":[0],"biological":[1,21],"networks":[2,22],"are":[3,113],"constructed":[4],"with":[5,74,80,95,104,118],"both":[6],"regular":[7,55],"and":[8,99],"random":[9,49],"connections":[10,50,122],"between":[11],"neurons.":[12],"Bio-inspired":[13],"systems":[14],"should":[15],"prevent":[16],"this":[17,31],"mixed":[18],"topology":[19],"of":[20,70,83,86,127,146],"while":[23],"the":[24,67,78,81,89,125,138,142,151],"artificial":[25],"system":[26,69,101],"is":[27,45,72,102,148],"still":[28],"realizable.":[29],"In":[30],"work,":[32],"a":[33,96,105],"bio-inspired":[34],"network":[35,79],"which":[36],"has":[37],"many":[38],"analog":[39],"realizations,":[40],"Cellular":[41,58],"Neural":[42,59],"Network":[43,60],"(CNN)":[44],"investigated":[46],"under":[47],"existing":[48],"in":[51,66,123,134],"addition":[52],"to":[53,115],"its":[54],"connections:":[56],"Small-World":[57],"(SWCNN).":[61],"Antennal":[62],"Lobe,":[63],"an":[64,132],"organ":[65],"olfaction":[68],"insects,":[71],"modeled":[73],"SWCNN":[75,147],"by":[76],"extending":[77],"use":[82],"two":[84],"types":[85],"processors":[87],"on":[88],"same":[90],"network.":[91],"The":[92],"model":[93],"combined":[94],"classifier,":[97],"SVM":[98],"overall":[100],"tested":[103],"five-class":[106],"odor":[107],"classification":[108,135],"problem.":[109],"While":[110],"all":[111],"neurons":[112],"connected":[114],"each":[116],"other":[117],"direct":[119],"or":[120],"indirect":[121],"CNNs,":[124],"idea":[126],"short-cuts":[128],"does":[129],"not":[130],"provide":[131],"improvement":[133],"performance":[136],"but":[137],"results":[139],"show":[140],"that":[141],"fault":[143],"tolerance":[144],"ability":[145],"better":[149],"than":[150],"classical":[152],"CNN.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}