{"id":"https://openalex.org/W2163551171","doi":"https://doi.org/10.1109/cec.2008.4631269","title":"Process optimization based on neural network model and orthogonal arrays","display_name":"Process optimization based on neural network model and orthogonal arrays","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2163551171","doi":"https://doi.org/10.1109/cec.2008.4631269","mag":"2163551171"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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/A5034248263","display_name":"Yaw\u2010Jen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yaw-Jen Chang","raw_affiliation_strings":["Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029227008","display_name":"Jui-Ju Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jui-Ju Tsai","raw_affiliation_strings":["Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21189103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3486","last_page":"3490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10188","display_name":"Advanced machining processes and optimization","score":0.9952999949455261,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.8473235368728638},{"id":"https://openalex.org/keywords/orthogonal-array","display_name":"Orthogonal array","score":0.8331197500228882},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.7333043217658997},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7332988977432251},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6306006908416748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5767843127250671},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5731663703918457},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.5645020008087158},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5144050717353821},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3778838515281677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22364935278892517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21716207265853882},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1588740348815918}],"concepts":[{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.8473235368728638},{"id":"https://openalex.org/C42632107","wikidata":"https://www.wikidata.org/wiki/Q2031860","display_name":"Orthogonal array","level":3,"score":0.8331197500228882},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7333043217658997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7332988977432251},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6306006908416748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767843127250671},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5731663703918457},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.5645020008087158},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5144050717353821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3778838515281677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22364935278892517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21716207265853882},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1588740348815918},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/cec.2008.4631269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W589744691","https://openalex.org/W1576064560","https://openalex.org/W1963997960","https://openalex.org/W2053275976","https://openalex.org/W2055548936","https://openalex.org/W2070195599","https://openalex.org/W2118223505","https://openalex.org/W2151940898","https://openalex.org/W2548866068","https://openalex.org/W4252223054"],"related_works":["https://openalex.org/W186921175","https://openalex.org/W3171028201","https://openalex.org/W2954115956","https://openalex.org/W2039304284","https://openalex.org/W2099748434","https://openalex.org/W2142112859","https://openalex.org/W2015985874","https://openalex.org/W2378907112","https://openalex.org/W2584075324","https://openalex.org/W1996339794"],"abstract_inverted_index":{"This":[0,76],"paper":[1],"presents":[2],"a":[3],"systematic":[4],"and":[5,54,104],"cost-effective":[6],"approach":[7,100],"for":[8,42,107],"process":[9,32,72,108],"optimization":[10],"with":[11,59],"minimal":[12],"experimental":[13,18,64],"runs.":[14],"Based":[15],"on":[16],"the":[17,31,43,47,56,71,81,88,95],"design":[19],"scheme":[20],"of":[21,46],"orthogonal":[22,69],"arrays,":[23,70],"artificial":[24],"neural":[25],"network":[26],"is":[27,38,74,78,94],"used":[28,39],"to":[29,40],"establish":[30],"model.":[33],"Moreover,":[34],"Taguchi-genetic":[35,92],"algorithm":[36,93],"(TGA)":[37],"search":[41],"global":[44],"optimum":[45,89],"fabrication":[48],"conditions.":[49],"The":[50,98],"procedure":[51],"starts":[52],"planning":[53],"conducting":[55],"initial":[57],"experiment":[58],"fewer":[60],"levels.":[61],"By":[62],"adding":[63],"points":[65],"selected":[66],"from":[67],"augmented":[68],"model":[73],"corrected.":[75],"step":[77],"continued":[79],"until":[80],"termination":[82],"condition":[83],"has":[84],"been":[85],"reached.":[86],"Then,":[87],"given":[90],"by":[91],"final":[96],"solution.":[97],"proposed":[99],"provides":[101],"an":[102],"effective":[103],"economical":[105],"solution":[106],"optimization.":[109]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}