{"id":"https://openalex.org/W2156760244","doi":"https://doi.org/10.1109/ijcnn.2007.4371317","title":"Neural Networks for Complex Valued Signals: A Preliminary Study","display_name":"Neural Networks for Complex Valued Signals: A Preliminary Study","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2156760244","doi":"https://doi.org/10.1109/ijcnn.2007.4371317","mag":"2156760244"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371317","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-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/A5109092250","display_name":"Sandeep Chandana","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sandeep Chandana","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109092250"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25339213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"82","issue":null,"first_page":"2300","last_page":"2305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9818000197410583,"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":[{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.725182831287384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6998645067214966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824827790260315},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.587693989276886},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5719120502471924},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42073044180870056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4148217737674713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21897605061531067}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.725182831287384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6998645067214966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824827790260315},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.587693989276886},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5719120502471924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42073044180870056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4148217737674713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21897605061531067},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371317","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W93167102","https://openalex.org/W1517040068","https://openalex.org/W1545568894","https://openalex.org/W1595432688","https://openalex.org/W1972242072","https://openalex.org/W1992332328","https://openalex.org/W2031293893","https://openalex.org/W2032171860","https://openalex.org/W2047515252","https://openalex.org/W2048446345","https://openalex.org/W2051137709","https://openalex.org/W2058399474","https://openalex.org/W2115813140","https://openalex.org/W2122357350","https://openalex.org/W2135858797","https://openalex.org/W2419222675","https://openalex.org/W6603755213","https://openalex.org/W6677201450"],"related_works":["https://openalex.org/W3161249280","https://openalex.org/W2267059662","https://openalex.org/W2364268683","https://openalex.org/W4388411807","https://openalex.org/W1519906715","https://openalex.org/W2478803962","https://openalex.org/W3169430512","https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W4205824991"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"the":[3,7,42,54,66,77],"work":[4],"related":[5],"to":[6,99],"design":[8,38],"and":[9,30,68,94],"architecture":[10,25,89],"of":[11,17,44,56,75],"a":[12,31,62,72],"special":[13],"neural":[14],"network":[15],"capable":[16],"dealing":[18],"effectively":[19],"with":[20],"Complex":[21,57],"numbers.":[22],"The":[23,50,87],"proposed":[24,88],"employs":[26],"parameter":[27],"space":[28],"partitioning":[29],"novel":[32],"partition":[33],"mapping":[34],"scheme.":[35],"An":[36],"empirical":[37],"based":[39],"partially":[40],"on":[41],"concepts":[43],"Rough":[45],"Sets":[46],"has":[47],"been":[48],"described.":[49],"applied":[51],"signal":[52],"in":[53],"form":[55],"numbers":[58],"is":[59],"divided":[60],"into":[61],"set":[63],"(containing":[64,74],"both":[65],"imaginary":[67],"real":[69,78],"coefficients)":[70],"and,":[71],"subset":[73],"only":[76],"coefficient).":[79],"These":[80],"set-subsets":[81],"are":[82],"processed":[83],"by":[84],"specialized":[85],"neurons.":[86],"displays":[90],"superior":[91],"learning":[92],"speeds":[93],"similar":[95],"accuracy":[96],"when":[97],"compared":[98],"other":[100],"established":[101],"complex-valued-neural-networks.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}