{"id":"https://openalex.org/W2139383749","doi":"https://doi.org/10.1016/0925-2312(92)90015-h","title":"Analog VLSI and multi-layer perceptions - accuracy, noise and on-chip learning","display_name":"Analog VLSI and multi-layer perceptions - accuracy, noise and on-chip learning","publication_year":1992,"publication_date":"1992-12-01","ids":{"openalex":"https://openalex.org/W2139383749","doi":"https://doi.org/10.1016/0925-2312(92)90015-h","mag":"2139383749"},"language":"en","primary_location":{"id":"doi:10.1016/0925-2312(92)90015-h","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0925-2312(92)90015-h","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5105524416","display_name":"Alan F. Murray","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Alan F. Murray","raw_affiliation_strings":["Department of Electrical Engineering, University of Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5105524416"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":2.7797,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91262904,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"4","issue":"6","first_page":"301","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9959999918937683,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6323180198669434},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.6240575313568115},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5954452157020569},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5561363697052002},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5517532229423523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43872883915901184},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4371703565120697},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36863410472869873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34341830015182495},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17364946007728577},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17009282112121582},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1468188464641571},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13049840927124023},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11961996555328369},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09042242169380188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323180198669434},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.6240575313568115},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5954452157020569},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5561363697052002},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5517532229423523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43872883915901184},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4371703565120697},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36863410472869873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34341830015182495},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17364946007728577},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17009282112121582},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1468188464641571},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13049840927124023},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11961996555328369},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09042242169380188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0925-2312(92)90015-h","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0925-2312(92)90015-h","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2069922301","https://openalex.org/W2117243393","https://openalex.org/W2129360572","https://openalex.org/W2131715036","https://openalex.org/W2146704595","https://openalex.org/W2167607759","https://openalex.org/W2476694670","https://openalex.org/W2766736793","https://openalex.org/W6677173858","https://openalex.org/W6682610290","https://openalex.org/W6684670274"],"related_works":["https://openalex.org/W4283025278","https://openalex.org/W2082432309","https://openalex.org/W817174743","https://openalex.org/W2050492524","https://openalex.org/W2998315020","https://openalex.org/W1976665945","https://openalex.org/W3016208414","https://openalex.org/W2104790384","https://openalex.org/W2123642381","https://openalex.org/W2098218272"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}