iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1145/130385.130432
{"id":"https://openalex.org/W2072160811","doi":"https://doi.org/10.1145/130385.130432","title":"On the computational power of neural nets","display_name":"On the computational power of neural nets","publication_year":1992,"publication_date":"1992-07-01","ids":{"openalex":"https://openalex.org/W2072160811","doi":"https://doi.org/10.1145/130385.130432","mag":"2072160811"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/130385.130432","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/130385.130432","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/130385.130432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038789440","display_name":"Hava T. Siegelmann","orcid":"https://orcid.org/0000-0003-4938-8723"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hava T. Siegelmann","raw_affiliation_strings":["Department of Computer Science, Rutgers University New Brunswick, NJ#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University New Brunswick, NJ#TAB#","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068753451","display_name":"Eduardo D. Sontag","orcid":"https://orcid.org/0000-0001-8020-5783"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduardo D. Sontag","raw_affiliation_strings":["Department of Mathematics, Rutgers University, New Brunswick, NJ."],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Rutgers University, New Brunswick, NJ.","institution_ids":["https://openalex.org/I102322142"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.175,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":214,"citation_normalized_percentile":{"value":0.96933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"440","last_page":"449"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998,"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":0.9998,"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":0.9906,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9646,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100971},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5960568},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5304424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.346421},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06289521},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/130385.130432","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/130385.130432","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/130385.130432","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/130385.130432","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1484739396","https://openalex.org/W1506437980","https://openalex.org/W1570445666","https://openalex.org/W1621957697","https://openalex.org/W1649899421","https://openalex.org/W1973756824","https://openalex.org/W1977197990","https://openalex.org/W1995341919","https://openalex.org/W2002089154","https://openalex.org/W2012140001","https://openalex.org/W2016589492","https://openalex.org/W2031585281","https://openalex.org/W2064658898","https://openalex.org/W2071846104","https://openalex.org/W2097694726","https://openalex.org/W2101927907","https://openalex.org/W2110485445","https://openalex.org/W2121553911","https://openalex.org/W2127349169","https://openalex.org/W2128728976","https://openalex.org/W2134568112","https://openalex.org/W2143127637","https://openalex.org/W2506342332","https://openalex.org/W4210678036","https://openalex.org/W4213416190","https://openalex.org/W4302339081"],"related_works":["https://openalex.org/W4396701345","https://openalex.org/W4396696052","https://openalex.org/W4391913857","https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2001405890"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"finite":[4],"networks":[5],"which":[6,68],"consist":[7],"of":[8,10,29,33,64],"interconnections":[9],"synchronously":[11],"evolving":[12],"processors.":[13],"Each":[14],"processor":[15],"updates":[16],"its":[17],"state":[18],"by":[19,45],"applying":[20],"a":[21,26,60,70,93],"\"sigmoidal\"":[22],"scalar":[23],"nonlinearity":[24],"to":[25,82],"linear":[27,55],"combination":[28],"the":[30,88],"previous":[31],"states":[32],"all":[34,42],"units.":[35],"We":[36],"prove":[37],"that":[38],"one":[39,50],"may":[40],"simulate":[41],"Turing":[43,98],"Machines":[44],"rational":[46],"nets.":[47],"In":[48],"particular,":[49],"can":[51],"do":[52],"this":[53],"in":[54,87],"time,":[56],"and":[57,103],"there":[58],"is":[59],"net":[61],"made":[62],"up":[63],"about":[65,96,106],"1,000":[66],"processors":[67],"computes":[69],"universal":[71],"partial-recursive":[72],"function.":[73],"Products":[74],"(high":[75],"order":[76],"nets)":[77],"are":[78,108],"not":[79],"required,":[80],"contrary":[81],"what":[83],"had":[84],"been":[85],"stated":[86],"literature.":[89],"Furthermore,":[90],"we":[91],"assert":[92],"similar":[94],"theorem":[95],"non-deterministic":[97],"Machines.":[99],"Consequences":[100],"for":[101],"undecidability":[102],"complexity":[104],"issues":[105],"nets":[107],"discussed":[109],"too.":[110]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2072160811","counts_by_year":[{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2024-12-07T11:13:32.891422","created_date":"2016-06-24"}