{"id":"https://openalex.org/W3016440280","doi":"https://doi.org/10.1109/ifuzzy46984.2019.9066243","title":"Primary study on single index artificial neural networks based on penalized regression splines","display_name":"Primary study on single index artificial neural networks based on penalized regression splines","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3016440280","doi":"https://doi.org/10.1109/ifuzzy46984.2019.9066243","mag":"3016440280"},"language":"en","primary_location":{"id":"doi:10.1109/ifuzzy46984.2019.9066243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy46984.2019.9066243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","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/A5111452632","display_name":"Jer\u2010Guang Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jer-Guang Hsieh","raw_affiliation_strings":["Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042815282","display_name":"Jyh-Horng Jeng","orcid":"https://orcid.org/0000-0003-0026-8333"},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyh-Horng Jeng","raw_affiliation_strings":["Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085494871","display_name":"Ying-Sheng Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087708","display_name":"Open University of Kaohsiung","ror":"https://ror.org/004wnty12","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210087708"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ying-Sheng Kuo","raw_affiliation_strings":["General Education Center, Open University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"General Education Center, Open University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210087708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111452632"],"corresponding_institution_ids":["https://openalex.org/I98298690"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23910211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9955999851226807,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.7261670231819153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083363890647888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792785882949829},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5464266538619995},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4972391426563263},{"id":"https://openalex.org/keywords/primary","display_name":"Primary (astronomy)","score":0.46237868070602417},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4195580780506134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41377994418144226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24999704957008362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2466469407081604}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7261670231819153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083363890647888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792785882949829},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5464266538619995},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4972391426563263},{"id":"https://openalex.org/C2777977315","wikidata":"https://www.wikidata.org/wiki/Q7243056","display_name":"Primary (astronomy)","level":2,"score":0.46237868070602417},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4195580780506134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41377994418144226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24999704957008362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2466469407081604},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifuzzy46984.2019.9066243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy46984.2019.9066243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W638544165","https://openalex.org/W1423766661","https://openalex.org/W1528762139","https://openalex.org/W1971735090","https://openalex.org/W1985035155","https://openalex.org/W1994433301","https://openalex.org/W1997222899","https://openalex.org/W2000569552","https://openalex.org/W2012457296","https://openalex.org/W2016166233","https://openalex.org/W2019019172","https://openalex.org/W2021550396","https://openalex.org/W2026956335","https://openalex.org/W2046432169","https://openalex.org/W2046510171","https://openalex.org/W2051864286","https://openalex.org/W2054724815","https://openalex.org/W2071443305","https://openalex.org/W2081749411","https://openalex.org/W2091615269","https://openalex.org/W2103496339","https://openalex.org/W2109364787","https://openalex.org/W2137983211","https://openalex.org/W2152195021","https://openalex.org/W2153635508","https://openalex.org/W2157315341","https://openalex.org/W2329094530","https://openalex.org/W2801490189","https://openalex.org/W2891613568","https://openalex.org/W2918836082","https://openalex.org/W3112717819","https://openalex.org/W3120421331","https://openalex.org/W3120740533","https://openalex.org/W3146803896","https://openalex.org/W4300667014","https://openalex.org/W4302364527"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"In":[0,87],"this":[1,51,133],"paper,":[2],"new":[3],"single":[4],"index":[5],"artificial":[6,22,174],"neural":[7,23,103,154,175],"network":[8,104,155,176],"models":[9,170],"using":[10,53],"penalized":[11,117,121],"regression":[12,48,118,123,128],"splines":[13,49,124],"are":[14,31,37,130],"proposed.":[15],"The":[16,56],"main":[17],"difference":[18],"with":[19],"the":[20,27,41,63,70,89,96,137,144,152,165,168,172],"standard":[21,173],"networks":[24],"is":[25],"that":[26],"output":[28,72,98,138],"activation":[29,58,66,73,99,139],"functions":[30,59,74,82,91,100],"not":[32,61],"pre-specified":[33],"in":[34,50,132],"advance":[35],"but":[36],"re-estimated":[38],"adaptively":[39],"during":[40],"training":[42,105],"process":[43],"by":[44,78],"nonparametric":[45],"smoothers":[46],"(penalized":[47],"study)":[52],"available":[54],"data.":[55],"estimated":[57,71],"may":[60,75,92],"necessarily":[62],"commonly":[64],"used":[65,94,131,162],"functions.":[67,140],"Very":[68],"often,":[69],"be":[76,93,161],"approximated":[77],"generalized":[79],"hyperbolic":[80],"tangent":[81],"or":[83],"simple":[84],"low-order":[85],"polynomials.":[86],"fact,":[88],"problem-tailored":[90],"as":[95],"actual":[97],"for":[101,151],"usual":[102],"and":[106,125,171],"prediction":[107],"if":[108],"necessary.":[109],"Specifically,":[110],"estimators":[111],"based":[112],"on":[113],"two":[114],"types":[115],"of":[116,167],"splines,":[119,129],"e.g.,":[120],"cubic":[122],"thin":[126],"plate":[127],"stuydy":[134],"to":[135,149,163],"estimate":[136],"We":[141],"will":[142,160],"use":[143],"powerful":[145],"particle":[146],"swarm":[147],"optimization":[148],"search":[150],"optimal":[153],"connection":[156],"weights.":[157],"Real-world":[158],"datasets":[159],"compare":[164],"performances":[166],"proposed":[169],"models.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
