{"id":"https://openalex.org/W3021049740","doi":"https://doi.org/10.3233/jifs-191618","title":"Assessment of effectiveness of data dependent activation method: MyAct","display_name":"Assessment of effectiveness of data dependent activation method: MyAct","publication_year":2020,"publication_date":"2020-05-04","ids":{"openalex":"https://openalex.org/W3021049740","doi":"https://doi.org/10.3233/jifs-191618","mag":"3021049740"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191618","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191618","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5000099400","display_name":"Sandhya Pundhir","orcid":"https://orcid.org/0000-0002-1793-4876"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sandhya Pundhir","raw_affiliation_strings":["USICT, GGSIPU, Dwarka, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USICT, GGSIPU, Dwarka, Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049855020","display_name":"Udayan Ghose","orcid":"https://orcid.org/0000-0002-2438-0082"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Udayan Ghose","raw_affiliation_strings":["USICT, GGSIPU, Dwarka, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USICT, GGSIPU, Dwarka, Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059090121","display_name":"Upasana Bisht","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Upasana Bisht","raw_affiliation_strings":["KIT, Pitampura, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIT, Pitampura, Delhi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000099400"],"corresponding_institution_ids":["https://openalex.org/I105454292"],"apc_list":null,"apc_paid":null,"fwci":0.408,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68738002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"39","issue":"1","first_page":"665","last_page":"677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.996399998664856,"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":0.996399998664856,"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/T10057","display_name":"Face and Expression Recognition","score":0.9901000261306763,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/activation-function","display_name":"Activation function","score":0.8406229615211487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597617506980896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7333582639694214},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6807036995887756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284459233283997},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5376042127609253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4781830608844757},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4764949679374695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47188177704811096},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43599650263786316},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41631895303726196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3711860477924347}],"concepts":[{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.8406229615211487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597617506980896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7333582639694214},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6807036995887756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284459233283997},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5376042127609253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4781830608844757},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4764949679374695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47188177704811096},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43599650263786316},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41631895303726196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3711860477924347},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191618","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191618","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482500327","https://openalex.org/W1745073052","https://openalex.org/W1970262304","https://openalex.org/W2072024313","https://openalex.org/W2091019377","https://openalex.org/W2176412452","https://openalex.org/W2226540026","https://openalex.org/W2265678348","https://openalex.org/W2625063094","https://openalex.org/W2765833400","https://openalex.org/W2766574708","https://openalex.org/W2766736994","https://openalex.org/W2767058041","https://openalex.org/W2785648721","https://openalex.org/W2792287754","https://openalex.org/W2796384729","https://openalex.org/W2804742100","https://openalex.org/W2809503151","https://openalex.org/W2893539081","https://openalex.org/W2911843975","https://openalex.org/W2964288451","https://openalex.org/W2964303497","https://openalex.org/W2968729399","https://openalex.org/W2973207341","https://openalex.org/W2976191627","https://openalex.org/W2984701134","https://openalex.org/W3006450881","https://openalex.org/W3008036111","https://openalex.org/W3099056690"],"related_works":["https://openalex.org/W3110577345","https://openalex.org/W2946235959","https://openalex.org/W2902935192","https://openalex.org/W3134817226","https://openalex.org/W3034021666","https://openalex.org/W2393731464","https://openalex.org/W2898900925","https://openalex.org/W3170224572","https://openalex.org/W2157934879","https://openalex.org/W2370830768"],"abstract_inverted_index":{"One":[0],"of":[1,29,53,61,184],"the":[2,27,33,59,93,99,205,246,301],"momentous":[3],"transformation":[4],"performed":[5],"by":[6,235,249],"an":[7,89],"artificial":[8],"neural":[9],"network":[10],"(ANN),":[11],"Support":[12],"Vector":[13],"Machine":[14],"(SVM),":[15],"Radial":[16],"basis":[17],"Function":[18],"(RBF)":[19],"and":[20,48,95,103,119,143,221,228,263,286],"many":[21],"other":[22,67,222],"machine":[23],"learning":[24,97],"method":[25,36,75,118,156,191,285],"is":[26,37,76,79,108,150,177,233],"application":[28],"activation":[30,35,63,69,117,155,190,224],"function.":[31],"MyAct":[32,65,128,203,252,274],"proposed":[34,62,250],"used":[38,55,129,207],"here":[39,56,149,208],"with":[40,110,115,130,159],"various":[41],"ANN":[42,114],"architectures":[43],"for":[44,92,98,226],"link":[45,101,229],"prediction,":[46],"classification":[47,227],"general":[49],"prediction.":[50,230],"Statistical":[51],"properties":[52],"data":[54,72,171,237],"to":[57,87,151,179,211,218],"prove":[58],"effectiveness":[60],"function":[64],"over":[66],"popular":[68,223],"methods.":[70],"A":[71],"dependent":[73],"transfer":[74],"developed,":[77],"which":[78,157],"pioneer":[80],"in":[81,216,245,280,291,300],"its":[82],"own":[83],"way.":[84],"This":[85],"proves":[86,209],"be":[88,212],"unified":[90],"formulation":[91],"robust":[94],"generalised":[96],"classification,":[100],"prediction":[102,247],"regression":[104,281,292],"problem":[105],"types.":[106],"Classification":[107],"done":[109,248],"Iris":[111],"dataset":[112],"using":[113,202,236],"different":[116],"results":[120,124,297],"are":[121,125,298],"compared.":[122],"Improved":[123],"achieved":[126,234],"when":[127],"Tailored":[131],"Deep":[132,144],"Feed":[133],"Forward":[134],"Artificial":[135,140,145],"Neural":[136,141,146],"Network":[137,142],"(TDFFANN),":[138],"simple":[139],"Network.":[147],"Aim":[148],"develop":[152],"a":[153,188,213],"novel":[154],"work":[158,193],"positive":[160],"data,":[161,163,166,169],"negative":[162,242],"small":[164],"size":[165,168],"big":[167],"skewed":[170],"or":[172],"corrupt":[173],"data.":[174,185,199],"An":[175],"attempt":[176],"made":[178],"cover":[180],"complete":[181],"versatile":[182],"behaviour":[183],"Currently":[186],"not":[187],"single":[189],"can":[192],"well":[194,240],"on":[195,204],"all":[196],"above":[197],"mentioned":[198],"Results":[200],"obtained":[201],"datasets":[206],"it":[210],"good":[214],"choice":[215],"comparison":[217],"logsig,":[219],"tansig":[220],"methods":[225],"Satisfactory":[231],"improvement":[232],"length":[238],"as":[239,241],"range":[243],"values":[244],"method.":[251],"had":[253],"22%":[254],"better":[255,266,278,289],"standard":[256,267],"deviation":[257,268],"than":[258,269,283,294],"ReLU":[259],"(Rectified":[260],"Linear":[261],"unit)":[262],"36.":[264],"28%":[265],"ELU":[270],"(Exponential":[271],"linear":[272],"unit).":[273],"has":[275],"2.":[276,287],"6%":[277],"accuracy":[279,290],"error":[282,293],"Swiss":[284],"5%":[288],"ELU.":[295],"Other":[296],"discussed":[299],"paper.":[302]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}