{"id":"https://openalex.org/W2140454983","doi":"https://doi.org/10.1109/ijcnn.2007.4371258","title":"Rotated General Regression Neural Network","display_name":"Rotated General Regression Neural Network","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2140454983","doi":"https://doi.org/10.1109/ijcnn.2007.4371258","mag":"2140454983"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371258","pdf_url":null,"source":null,"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/A5109510790","display_name":"Mohammad Gholamrezaei","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"M. Gholamrezaei","raw_affiliation_strings":["Department of AeroSpace Engineering, Sharif University of Technology, Tehran, Iran","Sharif Univ.of Technol., Tehran"],"affiliations":[{"raw_affiliation_string":"Department of AeroSpace Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Sharif Univ.of Technol., Tehran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103267947","display_name":"Kaveh Ghorbanian","orcid":"https://orcid.org/0000-0001-9233-8436"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"K. Ghorbanian","raw_affiliation_strings":["Department of AeroSpace Engineering, Sharif University of Technology, Tehran, Iran","Sharif Univ.of Technol., Tehran"],"affiliations":[{"raw_affiliation_string":"Department of AeroSpace Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Sharif Univ.of Technol., Tehran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109510790"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.6644,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75839579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1959","last_page":"1964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11945","display_name":"Heat Transfer Mechanisms","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11945","display_name":"Heat Transfer Mechanisms","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7456337809562683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682538747787476},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5654646158218384},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5646152496337891},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5043696165084839},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.498706579208374},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4821200370788574},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.47889605164527893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46125495433807373},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4573390781879425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4192773103713989},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.41655582189559937},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.4134776294231415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.326572984457016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3164932429790497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2865836024284363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24693959951400757}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7456337809562683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682538747787476},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5654646158218384},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5646152496337891},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5043696165084839},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.498706579208374},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4821200370788574},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.47889605164527893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46125495433807373},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4573390781879425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4192773103713989},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.41655582189559937},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.4134776294231415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.326572984457016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3164932429790497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2865836024284363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24693959951400757},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371258","pdf_url":null,"source":null,"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":26,"referenced_works":["https://openalex.org/W15572362","https://openalex.org/W1482792802","https://openalex.org/W1498436455","https://openalex.org/W1557268446","https://openalex.org/W1595740553","https://openalex.org/W1971713783","https://openalex.org/W2003767009","https://openalex.org/W2008572210","https://openalex.org/W2029900646","https://openalex.org/W2030147727","https://openalex.org/W2033201034","https://openalex.org/W2037269865","https://openalex.org/W2058292193","https://openalex.org/W2118020555","https://openalex.org/W2149723649","https://openalex.org/W2211925278","https://openalex.org/W2340250612","https://openalex.org/W2468714721","https://openalex.org/W4245003414","https://openalex.org/W4391065285","https://openalex.org/W6600664335","https://openalex.org/W6633282009","https://openalex.org/W6635702477","https://openalex.org/W6688384279","https://openalex.org/W6703488110","https://openalex.org/W6720107491"],"related_works":["https://openalex.org/W3093872600","https://openalex.org/W2039491306","https://openalex.org/W2355497933","https://openalex.org/W2100164856","https://openalex.org/W4240546533","https://openalex.org/W2100634825","https://openalex.org/W4233504930","https://openalex.org/W2075634219","https://openalex.org/W2391422945","https://openalex.org/W2126942774"],"abstract_inverted_index":{"A":[0,17,26],"rotated":[1],"general":[2,13,50,149],"regression":[3,14,51,150],"neural":[4,15,52,151],"network":[5,59,152],"is":[6,24,29,46,69,111,119,162],"presented":[7],"as":[8,97,99,153,155],"an":[9,130],"enhancement":[10],"to":[11,87],"the":[12,33,49,58,64,74,78,81,92,95,100,116,126,134,156],"network.":[16,53],"variable":[18],"kernel":[19],"estimate":[20],"for":[21,102],"multivariate":[22],"densities":[23],"considered.":[25],"coordinate":[27],"transformation":[28],"adopted":[30],"which":[31,45,105],"circumvent":[32],"difficulty":[34],"of":[35,83,94,109,115,129],"predicting":[36],"multimodal":[37],"distribution":[38],"with":[39,48,146],"large":[40],"variance":[41,65],"differences":[42,66],"between":[43,67],"modes":[44,68],"associated":[47],"The":[54,113,142],"proposed":[55,117],"technique":[56,79,118],"trains":[57],"in":[60,73,104],"a":[61,139],"way":[62],"that":[63],"kept":[70],"small":[71],"and":[72,90,133],"same":[75],"order.":[76],"Further,":[77],"reduces":[80],"number":[82],"indispensable":[84],"training":[85],"parameters":[86,89],"two":[88,123],"lowers":[91],"load":[93],"computation":[96],"well":[98,154],"time":[101],"conditions":[103],"employing":[106],"separate":[107],"values":[108],"\u03c3":[110],"unavoidable.":[112],"accuracy":[114],"demonstrated":[120],"by":[121,148],"examining":[122],"different":[124],"cases:":[125],"performance":[127],"map":[128],"axial":[131],"compressor":[132],"boundary":[135],"layer":[136],"profile":[137],"over":[138],"flat":[140],"plate.":[141],"results":[143],"are":[144],"compared":[145],"those":[147],"corresponding":[157],"experimental":[158],"data.":[159],"Excellent":[160],"improvement":[161],"obtained.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
