{"id":"https://openalex.org/W2122891334","doi":"https://doi.org/10.1109/ijcnn.2007.4371215","title":"A Functional Link Network With Ordered Basis Functions","display_name":"A Functional Link Network With Ordered Basis Functions","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2122891334","doi":"https://doi.org/10.1109/ijcnn.2007.4371215","mag":"2122891334"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371215","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/A5057823549","display_name":"Shubham Sureka","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saurabh Sureka","raw_affiliation_strings":["Electrical Engineering Department, University of Texas, Arlington, TX, USA","Univ. of Texas at Arlington, Arlington#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Texas, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington#TAB#","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114046112","display_name":"M.T. Manry","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Manry","raw_affiliation_strings":["Electrical Engineering Department, University of Texas, Arlington, TX, USA","Univ. of Texas at Arlington, Arlington#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Texas, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Univ. of Texas at Arlington, Arlington#TAB#","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057823549"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.3806,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58446404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1708","last_page":"1713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9761000275611877,"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/basis","display_name":"Basis (linear algebra)","score":0.7349113821983337},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6819052696228027},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.6273777484893799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5329549908638},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.5317434668540955},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4931182563304901},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4863210618495941},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4677002429962158},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4204736351966858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38978493213653564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33681678771972656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30623358488082886},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0746830403804779}],"concepts":[{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.7349113821983337},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6819052696228027},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.6273777484893799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5329549908638},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.5317434668540955},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4931182563304901},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4863210618495941},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4677002429962158},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4204736351966858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38978493213653564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33681678771972656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30623358488082886},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0746830403804779},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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.2007.4371215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371215","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1770912791","https://openalex.org/W1777388371","https://openalex.org/W2012638612","https://openalex.org/W2023320048","https://openalex.org/W2027197837","https://openalex.org/W2045675031","https://openalex.org/W2055823751","https://openalex.org/W2071551353","https://openalex.org/W2102479866","https://openalex.org/W2114617133","https://openalex.org/W2129459090","https://openalex.org/W2137983211","https://openalex.org/W2138149909","https://openalex.org/W2141278204","https://openalex.org/W2153904408","https://openalex.org/W2155399784","https://openalex.org/W2156471707","https://openalex.org/W2158948182","https://openalex.org/W2165350140","https://openalex.org/W2166316590","https://openalex.org/W2170189305","https://openalex.org/W3146803896","https://openalex.org/W6637981711","https://openalex.org/W6677263099"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"A":[0,60],"procedure":[1],"is":[2,53,63],"presented":[3],"for":[4,65,78,86],"selecting":[5],"and":[6,30,67,72,94],"ordering":[7],"the":[8,13,40,50,56,79,87],"polynomial":[9],"basis":[10,33],"functions":[11,34],"in":[12],"functional":[14],"link":[15],"net":[16],"(FLN).":[17],"This":[18],"procedure,":[19],"based":[20],"upon":[21],"a":[22],"modified":[23],"Gram":[24],"Schmidt":[25],"orthonormalization,":[26],"eliminates":[27],"linearly":[28],"dependent":[29],"less":[31],"useful":[32],"at":[35],"an":[36],"early":[37],"stage,":[38],"reducing":[39],"possibility":[41],"of":[42,47,58,91],"combinatorial":[43],"explosion.":[44],"The":[45],"number":[46],"passes":[48],"through":[49,55],"training":[51],"data":[52,92],"minimized":[54],"use":[57],"correlations.":[59],"one-pass":[61],"method":[62,90],"used":[64],"validation":[66],"network":[68],"sizing.":[69],"Function":[70],"approximation":[71],"learning":[73],"examples":[74],"are":[75,82],"presented.":[76],"Results":[77],"ordered":[80],"FLN":[81],"compared":[83],"with":[84],"those":[85],"FLN,":[88],"group":[89],"handling,":[93],"multi-layer":[95],"perceptron.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
