{"id":"https://openalex.org/W3036543684","doi":"https://doi.org/10.1109/icccs49078.2020.9118471","title":"PATS: A New Neural Network Activation Function with Parameter","display_name":"PATS: A New Neural Network Activation Function with Parameter","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036543684","doi":"https://doi.org/10.1109/icccs49078.2020.9118471","mag":"3036543684"},"language":"en","primary_location":{"id":"doi:10.1109/icccs49078.2020.9118471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118471","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","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/A5041722389","display_name":"Baoyou Zheng","orcid":"https://orcid.org/0000-0003-1158-2096"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyou Zheng","raw_affiliation_strings":["School of science, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017523518","display_name":"Zhiping Wang","orcid":"https://orcid.org/0000-0003-4985-9003"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Wang","raw_affiliation_strings":["School of science, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1638,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46776316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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/sigmoid-function","display_name":"Sigmoid function","score":0.8059684038162231},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.7963029742240906},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7011600136756897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6573215126991272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547938585281372},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5684307813644409},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5577650666236877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5573644638061523},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5195868015289307},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5035344958305359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32848042249679565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17059987783432007}],"concepts":[{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.8059684038162231},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.7963029742240906},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7011600136756897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6573215126991272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547938585281372},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5684307813644409},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5577650666236877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5573644638061523},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5195868015289307},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5035344958305359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32848042249679565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17059987783432007},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs49078.2020.9118471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118471","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1497265063","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1921523184","https://openalex.org/W1994616650","https://openalex.org/W2102605133","https://openalex.org/W2163605009","https://openalex.org/W2176412452","https://openalex.org/W2194775991","https://openalex.org/W2201305792","https://openalex.org/W2738270315","https://openalex.org/W2765833400","https://openalex.org/W2805360286","https://openalex.org/W2963285578","https://openalex.org/W2963446712","https://openalex.org/W2963452022","https://openalex.org/W2963911037","https://openalex.org/W2964055987","https://openalex.org/W2964121744","https://openalex.org/W2964340589","https://openalex.org/W2969937244","https://openalex.org/W3118608800","https://openalex.org/W6629867248","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638444622","https://openalex.org/W6640185926","https://openalex.org/W6684191040","https://openalex.org/W6685562342","https://openalex.org/W6687409883","https://openalex.org/W6696944713","https://openalex.org/W6725739302","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3024979424","https://openalex.org/W4283785902","https://openalex.org/W3032499992","https://openalex.org/W2041004593","https://openalex.org/W3134817226","https://openalex.org/W2895192346","https://openalex.org/W3110577345","https://openalex.org/W3136579697","https://openalex.org/W2811324119","https://openalex.org/W4385451479"],"abstract_inverted_index":{"Activation":[0],"function":[1,20,30,34],"is":[2,27,49,128],"crucial":[3],"to":[4,90],"the":[5,39,45,54,59,66,92,117],"recent":[6],"successes":[7],"of":[8,41,47,61,68,94,122],"deep":[9,80,87,123],"neural":[10],"networks.":[11],"In":[12,38,71],"this":[13],"paper,":[14],"we":[15],"propose":[16],"a":[17,28,50],"new":[18],"activation":[19,109],"with":[21,107],"parameters,":[22],"named":[23],"PATS.":[24,95],"Specifically,":[25],"PATS":[26,48,73,111],"non-monotonic":[29],"which":[31,57],"combines":[32],"arctangent":[33],"and":[35,64,101,120],"sigmoid":[36],"function.":[37],"process":[40],"network":[42,62,81,88,124],"model":[43,63],"training,":[44],"parameter":[46],"random":[51],"number":[52],"from":[53],"uniform":[55],"distribution,":[56],"improves":[58],"flexibility":[60],"reduces":[65],"risk":[67],"over":[69],"fitting.":[70],"addition,":[72],"can":[74],"be":[75],"widely":[76],"used":[77],"in":[78,115],"existing":[79],"models.":[82],"We":[83],"use":[84],"several":[85],"classic":[86],"models":[89],"test":[91],"performance":[93,114],"The":[96,126],"experimental":[97],"results":[98],"on":[99],"CIFAR-10":[100],"CIFAR-100":[102],"datasets":[103],"show":[104],"that":[105],"compared":[106],"other":[108],"functions,":[110],"has":[112],"better":[113],"improving":[116],"learning":[118],"ability":[119],"robustness":[121],"model.":[125],"code":[127],"available":[129],"at":[130],"https://github.com/zbygithub/PATS.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
