{"id":"https://openalex.org/W3202645299","doi":"https://doi.org/10.1080/23307706.2021.1982781","title":"Predicting the success rate of a start-up using LSTM with a swish activation function","display_name":"Predicting the success rate of a start-up using LSTM with a swish activation function","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3202645299","doi":"https://doi.org/10.1080/23307706.2021.1982781","mag":"3202645299"},"language":"en","primary_location":{"id":"doi:10.1080/23307706.2021.1982781","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23307706.2021.1982781","pdf_url":null,"source":{"id":"https://openalex.org/S2475925340","display_name":"Journal of Control and Decision","issn_l":"2330-7706","issn":["2330-7706","2330-7714"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control and Decision","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/A5003043716","display_name":"Ramakrishna Allu","orcid":"https://orcid.org/0009-0008-6404-755X"},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramakrishna Allu","raw_affiliation_strings":["Department of Computer Science and Engineering, GITAM (Deemed to be university), Visakhapatnam, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM (Deemed to be university), Visakhapatnam, Andhra Pradesh, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047002458","display_name":"Venkata Nageswara Rao Padmanabhuni","orcid":null},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkata Nageswara Rao Padmanabhuni","raw_affiliation_strings":["Department of Computer Science and Engineering, GITAM (Deemed to be university), Visakhapatnam, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM (Deemed to be university), Visakhapatnam, Andhra Pradesh, India","institution_ids":["https://openalex.org/I885392262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003043716"],"corresponding_institution_ids":["https://openalex.org/I885392262"],"apc_list":null,"apc_paid":null,"fwci":1.1655,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87361553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"3","first_page":"355","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12851","display_name":"Firm Innovation and Growth","score":0.934499979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12851","display_name":"Firm Innovation and Growth","score":0.934499979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10058","display_name":"Entrepreneurship Studies and Influences","score":0.9215999841690063,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7664501667022705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052124500274658},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.518912136554718},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5163360834121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060283541679382},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5034453272819519},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46296975016593933},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44339048862457275},{"id":"https://openalex.org/keywords/crunch","display_name":"Crunch","score":0.4187925457954407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41097742319107056},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14419183135032654},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.13490772247314453}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7664501667022705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052124500274658},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.518912136554718},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5163360834121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060283541679382},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5034453272819519},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46296975016593933},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44339048862457275},{"id":"https://openalex.org/C2780614964","wikidata":"https://www.wikidata.org/wiki/Q811154","display_name":"Crunch","level":2,"score":0.4187925457954407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41097742319107056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14419183135032654},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.13490772247314453},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/23307706.2021.1982781","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23307706.2021.1982781","pdf_url":null,"source":{"id":"https://openalex.org/S2475925340","display_name":"Journal of Control and Decision","issn_l":"2330-7706","issn":["2330-7706","2330-7714"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control and Decision","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W632155802","https://openalex.org/W2028514255","https://openalex.org/W2034561078","https://openalex.org/W2752291283","https://openalex.org/W2886756653","https://openalex.org/W2894214652","https://openalex.org/W2964305422","https://openalex.org/W2964392686","https://openalex.org/W2972788181","https://openalex.org/W2972892890","https://openalex.org/W2996222654","https://openalex.org/W3017677110","https://openalex.org/W3163311692"],"related_works":["https://openalex.org/W2316287732","https://openalex.org/W2808424827","https://openalex.org/W2186510001","https://openalex.org/W2317215686","https://openalex.org/W4301400674","https://openalex.org/W2409820794","https://openalex.org/W2624020305","https://openalex.org/W81166283","https://openalex.org/W1694694828","https://openalex.org/W50384349"],"abstract_inverted_index":{"The":[0,21,70,95,116],"researchers":[1,57],"emphasised":[2],"more":[3],"small-scale":[4,68],"start-ups":[5],"which":[6],"required":[7,24],"improvement":[8],"in":[9,107],"the":[10,13,18,33,36,40,52,56,63,74,80,89,103,114],"economy":[11,37],"decreased":[12],"failure":[14,55,64,83],"rate":[15,41],"by":[16,87],"avoiding":[17],"valuable":[19],"resources.":[20],"resources":[22],"were":[23],"to":[25,32,45,50],"be":[26],"used":[27],"without":[28],"wasting":[29],"them":[30],"lead":[31],"development":[34],"of":[35,42,54,67,84,122,140],"and":[38,49,65,135],"reduces":[39],"unemployment.":[43],"Therefore,":[44],"minimise":[46],"resource":[47],"wastage":[48],"avoid":[51],"risk":[53],"considered":[58],"certain":[59],"factors":[60],"that":[61,78,132],"affected":[62],"success":[66,81],"industries.":[69],"present":[71],"research":[72],"uses":[73,102],"Crunch":[75],"Base":[76],"dataset":[77],"predicts":[79],"or":[82],"a":[85],"start-up":[86],"using":[88],"Long":[90],"Short":[91],"Term":[92],"Memory":[93],"(LSTM).":[94],"LSTM":[96,118],"unit":[97],"Recurrent":[98],"Neural":[99,110,137],"Network":[100,112,138],"(RNN)":[101],"Swish":[104],"activation":[105],"function":[106],"Feed":[108],"Forward":[109],"(FFN)":[111],"for":[113],"classification.":[115],"proposed":[117],"obtained":[119],"better":[120],"accuracy":[121],"71.64%":[123],"when":[124],"compared":[125],"with":[126],"existing":[127],"methods":[128],"such":[129],"as":[130],"RNN":[131],"attained":[133],"65.67%":[134],"Artificial":[136],"(ANN)":[139],"69.7%.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}