{"id":"https://openalex.org/W1841443166","doi":"https://doi.org/10.1109/ijcnn.2003.1223906","title":"A generalized feedforward neural network classifier","display_name":"A generalized feedforward neural network classifier","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1841443166","doi":"https://doi.org/10.1109/ijcnn.2003.1223906","mag":"1841443166"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5072266679","display_name":"Ganesh Arulampalam","orcid":null},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"G. Arulampalam","raw_affiliation_strings":["Edith Cowan University, Joondalup, WA, Australia","[Edith Cowan University, Joondalup, WA, Australia]"],"affiliations":[{"raw_affiliation_string":"Edith Cowan University, Joondalup, WA, Australia","institution_ids":["https://openalex.org/I12079687"]},{"raw_affiliation_string":"[Edith Cowan University, Joondalup, WA, Australia]","institution_ids":["https://openalex.org/I12079687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072662577","display_name":"Abdesselam Bouzerdoum","orcid":"https://orcid.org/0000-0002-9163-0045"},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. Bouzerdoum","raw_affiliation_strings":["Edith Cowan University, Joondalup, WA, Australia","[Edith Cowan University, Joondalup, WA, Australia]"],"affiliations":[{"raw_affiliation_string":"Edith Cowan University, Joondalup, WA, Australia","institution_ids":["https://openalex.org/I12079687"]},{"raw_affiliation_string":"[Edith Cowan University, Joondalup, WA, Australia]","institution_ids":["https://openalex.org/I12079687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072266679"],"corresponding_institution_ids":["https://openalex.org/I12079687"],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73505156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1429","last_page":"1434"},"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":0.9772999882698059,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/shunting","display_name":"Shunting","score":0.7857952117919922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748572587966919},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6665661334991455},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6436294317245483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217694878578186},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6086126565933228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6077388525009155},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.602443516254425},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5593894720077515},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5212160348892212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4939118027687073},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4825105667114258},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.46999844908714294},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.37059837579727173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36666572093963623},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13373053073883057},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11929485201835632},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.11627978086471558}],"concepts":[{"id":"https://openalex.org/C197328160","wikidata":"https://www.wikidata.org/wiki/Q7505161","display_name":"Shunting","level":2,"score":0.7857952117919922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748572587966919},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6665661334991455},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6436294317245483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217694878578186},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6086126565933228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6077388525009155},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.602443516254425},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5593894720077515},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5212160348892212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4939118027687073},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4825105667114258},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.46999844908714294},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.37059837579727173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36666572093963623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13373053073883057},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11929485201835632},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.11627978086471558},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.ecu.edu.au:ecuworks-4666","is_oa":false,"landing_page_url":"https://ro.ecu.edu.au/ecuworks/3667","pdf_url":null,"source":{"id":"https://openalex.org/S2765015692","display_name":"Australasian Journal of Paramedicine","issn_l":"2202-7270","issn":["2202-7270"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ECU Publications Pre. 2011","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1938785624","https://openalex.org/W1943665722","https://openalex.org/W1967011375","https://openalex.org/W1972435142","https://openalex.org/W1990149295","https://openalex.org/W2014381508","https://openalex.org/W2038128936","https://openalex.org/W2039397035","https://openalex.org/W2075835587","https://openalex.org/W2084812512","https://openalex.org/W2099725280","https://openalex.org/W2103601711","https://openalex.org/W2118162660","https://openalex.org/W2125264278","https://openalex.org/W2138036661","https://openalex.org/W2141582813","https://openalex.org/W2144219012","https://openalex.org/W2152072489","https://openalex.org/W2155482699","https://openalex.org/W2170302354","https://openalex.org/W2256679588","https://openalex.org/W2912973532","https://openalex.org/W4241653134","https://openalex.org/W6671611538"],"related_works":["https://openalex.org/W1595652908","https://openalex.org/W2014323024","https://openalex.org/W2089093251","https://openalex.org/W2950022897","https://openalex.org/W2104714048","https://openalex.org/W2390775476","https://openalex.org/W2950917560","https://openalex.org/W2186233897","https://openalex.org/W2785001934","https://openalex.org/W2408618716"],"abstract_inverted_index":{"In":[0,86],"this":[1,87],"article":[2],"a":[3],"new":[4],"generalized":[5,45],"feedforward":[6],"neural":[7,25],"network":[8],"(GFNN)":[9],"architecture":[10,37,76],"for":[11,30],"pattern":[12,80],"classification":[13,31,81,95],"is":[14],"proposed.":[15],"The":[16,35],"GFNNs":[17,89],"are":[18,64,90],"an":[19],"expansion":[20],"of":[21,66,104],"shunting":[22,46,58,62],"inhibitory":[23,59],"artificial":[24],"networks":[26],"(SIANNs),":[27],"proposed":[28],"previously":[29],"and":[32,56,97,106],"function":[33],"approximations.":[34],"GFNN":[36,75],"uses":[38],"as":[39,51],"its":[40],"basic":[41],"computing":[42],"unit":[43],"the":[44,54,57,74,102],"neuron":[47],"(GSN),":[48],"which":[49],"includes":[50],"special":[52],"cases":[53],"perceptron":[55],"neuron.":[60],"Generalized":[61],"neurons":[63],"capable":[65],"forming":[67],"complex,":[68],"nonlinear":[69],"decision":[70],"boundaries.":[71],"This":[72],"allows":[73],"to":[77,92,101],"learn":[78],"complex":[79],"problems":[82],"using":[83],"few":[84],"neurons.":[85],"article,":[88],"applied":[91],"several":[93],"benchmark":[94],"problems,":[96],"their":[98],"performance":[99,103],"compared":[100],"SIANNs":[105],"multilayer":[107],"perceptrons.":[108]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}