{"id":"https://openalex.org/W2149786304","doi":null,"title":"Comparison of surrogate models for turbomachinery design","display_name":"Comparison of surrogate models for turbomachinery design","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2149786304","mag":"2149786304"},"language":"en","primary_location":{"id":"mag:2149786304","doi":null,"is_oa":false,"landing_page_url":"http://www.wseas.us/e-library/transactions/fluid/2008/25-252.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5048076263","display_name":"Jacques Peter","orcid":"https://orcid.org/0000-0002-6851-7378","observed_orcids":["https://orcid.org/0000-0002-6851-7378"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacques Peter","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6851-7378","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075848635","display_name":"Meryem Marcelet","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meryem Marcelet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1674,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93901794,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.7041000127792358,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.7041000127792358,"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/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.2720000147819519,"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/T10173","display_name":"Computational Fluid Dynamics and Aerodynamics","score":0.006099999882280827,"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/surrogate-modeling","display_name":"surrogate models","score":0.9959999918937683},{"id":"https://openalex.org/keywords/turbomachinery-design","display_name":"turbomachinery design","score":0.9259999990463257},{"id":"https://openalex.org/keywords/global-optimization","display_name":"global optimization","score":0.9819999933242798},{"id":"https://openalex.org/keywords/kriging","display_name":"kriging","score":0.746999979019165},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9670000076293945},{"id":"https://openalex.org/keywords/radial-basis-function-neural-network","display_name":"radial basis function neural network","score":0.7910000085830688},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.8460000157356262},{"id":"https://openalex.org/keywords/polynomial-surrogate-models","display_name":"polynomial surrogate models","score":0.6499999761581421},{"id":"https://openalex.org/keywords/surrogate-model-selection","display_name":"surrogate model selection","score":0.527999997138977}],"concepts":[{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.8593002557754517},{"id":"https://openalex.org/C200398353","wikidata":"https://www.wikidata.org/wiki/Q63973","display_name":"Turbomachinery","level":2,"score":0.6389439702033997},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5726326704025269},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.567851185798645},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5498396158218384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.485881507396698},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4603967070579529},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4573982357978821},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44921472668647766},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44369715452194214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39994484186172485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37060460448265076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2588984966278076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1901189088821411},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15062618255615234},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08182975649833679},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2149786304","doi":null,"is_oa":false,"landing_page_url":"http://www.wseas.us/e-library/transactions/fluid/2008/25-252.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W838937606","https://openalex.org/W1480928214","https://openalex.org/W1541704838","https://openalex.org/W1639032689","https://openalex.org/W1973758159","https://openalex.org/W1974961323","https://openalex.org/W1980435942","https://openalex.org/W1984753492","https://openalex.org/W2001842014","https://openalex.org/W2016814974","https://openalex.org/W2021830957","https://openalex.org/W2024190308","https://openalex.org/W2044458183","https://openalex.org/W2053185865","https://openalex.org/W2054881170","https://openalex.org/W2092375227","https://openalex.org/W2114175524","https://openalex.org/W2137983211","https://openalex.org/W2151635674","https://openalex.org/W2328679131","https://openalex.org/W2904250082","https://openalex.org/W4247222564"],"related_works":["https://openalex.org/W2109523839","https://openalex.org/W7100404116","https://openalex.org/W25300151","https://openalex.org/W2201491525","https://openalex.org/W2089415365","https://openalex.org/W2061923203","https://openalex.org/W2039966395","https://openalex.org/W6920313421","https://openalex.org/W2015212251","https://openalex.org/W2501146467"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,11,24,62,74,80,97],"issue":[4],"of":[5,14,26,29,41,64,73,77,89,96],"selecting":[6],"surrogate":[7,42,66],"models":[8,43],"suitable":[9],"for":[10,92],"global":[12,85],"optimization":[13],"turbomachinery":[15],"flows.":[16],"As":[17],"a":[18,27,33,70,84],"first":[19],"step":[20],"towards":[21],"this":[22],"goal":[23],"analysis":[25],"family":[28],"2D":[30],"flows":[31],"on":[32,79],"two-parameter":[34],"design":[35,81],"space":[36],"is":[37,61,100],"presented.":[38],"Four":[39],"types":[40],"are":[44],"considered:":[45],"least":[46],"square":[47],"polynomials,":[48],"artificial":[49],"neural":[50],"networks":[51],"(multi-layer":[52],"perceptron":[53],"and":[54,58],"radial":[55],"basis":[56],"function)":[57],"Kriging.":[59],"Discussed":[60],"ability":[63],"these":[65],"functions":[67],"to":[68],"give":[69],"satisfactory":[71],"description":[72,95],"exact":[75,98],"function":[76,99],"interest":[78],"space,":[82],"during":[83],"optimization.":[86],"The":[87],"number":[88],"CFD":[90],"evaluations":[91],"an":[93],"adequate":[94],"presented":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
