{"id":"https://openalex.org/W2055996573","doi":"https://doi.org/10.1002/cta.4490190108","title":"A neural network for signal decomposition problems","display_name":"A neural network for signal decomposition problems","publication_year":1991,"publication_date":"1991-01-01","ids":{"openalex":"https://openalex.org/W2055996573","doi":"https://doi.org/10.1002/cta.4490190108","mag":"2055996573"},"language":"en","primary_location":{"id":"doi:10.1002/cta.4490190108","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cta.4490190108","pdf_url":null,"source":{"id":"https://openalex.org/S92132303","display_name":"International Journal of Circuit Theory and Applications","issn_l":"0098-9886","issn":["0098-9886","1097-007X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Circuit Theory and Applications","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/A5069809502","display_name":"Mauro Forti","orcid":"https://orcid.org/0000-0002-3970-7201"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mauro Forti","raw_affiliation_strings":["Electronic Engineering Department, University of Florence, Via S. Marta 3, 1-50139 Firenze, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, University of Florence, Via S. Marta 3, 1-50139 Firenze, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069809502"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":{"value":3660,"currency":"USD","value_usd":3660},"apc_paid":null,"fwci":0.5357,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73603569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":"65","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.984499990940094,"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/T11236","display_name":"Control Systems and Identification","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7044568657875061},{"id":"https://openalex.org/keywords/hopfield-network","display_name":"Hopfield network","score":0.6786491870880127},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5961936712265015},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5829581022262573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4586924910545349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4565015733242035},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4498896598815918},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43992218375205994},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.4291524887084961},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4268847405910492},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4191593527793884},{"id":"https://openalex.org/keywords/quadratic-growth","display_name":"Quadratic growth","score":0.4132230281829834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37773972749710083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19423162937164307},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1790541708469391}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7044568657875061},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.6786491870880127},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5961936712265015},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5829581022262573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4586924910545349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4565015733242035},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4498896598815918},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43992218375205994},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4291524887084961},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4268847405910492},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4191593527793884},{"id":"https://openalex.org/C195956108","wikidata":"https://www.wikidata.org/wiki/Q7268362","display_name":"Quadratic growth","level":2,"score":0.4132230281829834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37773972749710083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19423162937164307},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1790541708469391},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/cta.4490190108","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cta.4490190108","pdf_url":null,"source":{"id":"https://openalex.org/S92132303","display_name":"International Journal of Circuit Theory and Applications","issn_l":"0098-9886","issn":["0098-9886","1097-007X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Circuit Theory and Applications","raw_type":"journal-article"},{"id":"pmh:oai:usiena-air.unisi.it:11365/8660","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/8660","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1597286183","https://openalex.org/W1914703402","https://openalex.org/W1980856931","https://openalex.org/W2008307553","https://openalex.org/W2010526455","https://openalex.org/W2017053683","https://openalex.org/W2097113878","https://openalex.org/W2102227134","https://openalex.org/W2112246162","https://openalex.org/W2160121923"],"related_works":["https://openalex.org/W2084086280","https://openalex.org/W2027198738","https://openalex.org/W2397767885","https://openalex.org/W237421766","https://openalex.org/W3013712002","https://openalex.org/W2083114070","https://openalex.org/W2004392729","https://openalex.org/W2010164741","https://openalex.org/W136166990","https://openalex.org/W4386977533"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"the":[4,22,26,30,39,48,75,85,91,124],"design":[5],"of":[6,20,54,79,90,102,123],"a":[7,52,107],"neural":[8,93],"network":[9,24,94],"for":[10,110],"signal":[11],"decomposition":[12,103],"problems":[13,21],"with":[14,51,61,72],"application":[15],"examples.":[16],"For":[17],"this":[18,67],"class":[19],"proposed":[23,92],"has":[25],"same":[27],"dynamics":[28],"as":[29],"Hopfield":[31,86,129],"net,":[32],"but":[33],"it":[34],"is":[35,116],"shown":[36],"to":[37,74,99],"realize":[38],"O":[40],"(":[41],"M":[42,49,63],"2":[43],")":[44],"connection":[45],"paths":[46],"among":[47],"neurons":[50],"number":[53,68,78],"wires":[55,80],"and":[56,81],"conductances":[57,82,121],"increasing":[58,62,77],"only":[59],"linearly":[60],",":[64],"i.e.":[65],"reducing":[66],"by":[69],"one":[70],"dimension":[71],"respect":[73],"quadratically":[76],"required":[83],"in":[84,97],"net.":[87],"Other":[88],"advantages":[89],"are":[95],"discussed":[96],"relation":[98],"classical":[100],"examples":[101],"problems.":[104],"In":[105],"particular,":[106],"new":[108],"architecture":[109],"an":[111],"N":[112,120,125],"\u2010bit":[113],"A/D":[114,130],"converter":[115],"presented":[117],"employing":[118],"4":[119],"instead":[122],"(N":[126],"+":[127],"1)":[128],"conductances.":[131]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}