{"id":"https://openalex.org/W4200078991","doi":"https://doi.org/10.1155/2021/8100371","title":"Quality Prediction of Fused Deposition Molding Parts Based on Improved Deep Belief Network","display_name":"Quality Prediction of Fused Deposition Molding Parts Based on Improved Deep Belief Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4200078991","doi":"https://doi.org/10.1155/2021/8100371","pmid":"https://pubmed.ncbi.nlm.nih.gov/34917140"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8100371","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8100371","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8100371.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/8100371.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005267734","display_name":"Hai Dong","orcid":"https://orcid.org/0000-0002-7033-5688"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Dong","raw_affiliation_strings":["School of Applied Technology, Shenyang University, Shenyang 110041, China","School of Applied Technology, Shenyang University, Shenyang 110041"],"affiliations":[{"raw_affiliation_string":"School of Applied Technology, Shenyang University, Shenyang 110041, China","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"School of Applied Technology, Shenyang University, Shenyang 110041","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079965283","display_name":"Xiuxiu Gao","orcid":"https://orcid.org/0000-0003-1008-3287"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuxiu Gao","raw_affiliation_strings":["School of Mechanical, Shenyang University, Shenyang 110041, China","School of Mechanical, Shenyang University, Shenyang 110041"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Shenyang University, Shenyang 110041, China","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"School of Mechanical, Shenyang University, Shenyang 110041","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014289366","display_name":"Mingqi Wei","orcid":"https://orcid.org/0000-0002-0084-695X"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Wei","raw_affiliation_strings":["School of Mechanical, Shenyang University, Shenyang 110041, China","School of Mechanical, Shenyang University, Shenyang 110041"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Shenyang University, Shenyang 110041, China","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"School of Mechanical, Shenyang University, Shenyang 110041","institution_ids":["https://openalex.org/I42852656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079965283"],"corresponding_institution_ids":["https://openalex.org/I42852656"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.651,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69369823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":"8100371","last_page":"8100371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9868000149726868,"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9230999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7056303024291992},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6208122372627258},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5641266107559204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5499281287193298},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49933767318725586},{"id":"https://openalex.org/keywords/fused-deposition-modeling","display_name":"Fused deposition modeling","score":0.4990363121032715},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.49002039432525635},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47634103894233704},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.4295777678489685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35555657744407654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3544880747795105},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15723413228988647},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10354739427566528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056303024291992},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6208122372627258},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5641266107559204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5499281287193298},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49933767318725586},{"id":"https://openalex.org/C2780329122","wikidata":"https://www.wikidata.org/wiki/Q18349149","display_name":"Fused deposition modeling","level":3,"score":0.4990363121032715},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.49002039432525635},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47634103894233704},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.4295777678489685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35555657744407654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544880747795105},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15723413228988647},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10354739427566528},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C524769229","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3D printing","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/8100371","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8100371","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8100371.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34917140","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34917140","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:307dfac317e14e3eae7a22d820e49fc7","is_oa":true,"landing_page_url":"https://doaj.org/article/307dfac317e14e3eae7a22d820e49fc7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8670973","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8670973","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/8100371","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8100371","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8100371.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4197536946","display_name":null,"funder_award_id":"71672117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200078991.pdf","grobid_xml":"https://content.openalex.org/works/W4200078991.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2020189212","https://openalex.org/W2027137968","https://openalex.org/W2048685544","https://openalex.org/W2068507382","https://openalex.org/W2082234735","https://openalex.org/W2084936446","https://openalex.org/W2153879578","https://openalex.org/W2157883849","https://openalex.org/W2164222385","https://openalex.org/W2183106861","https://openalex.org/W2199049856","https://openalex.org/W2255511367","https://openalex.org/W2264923879","https://openalex.org/W2409367727","https://openalex.org/W2463319845","https://openalex.org/W2541707763","https://openalex.org/W2560171758","https://openalex.org/W2563122849","https://openalex.org/W2580563003","https://openalex.org/W2601486059","https://openalex.org/W2606754133","https://openalex.org/W2761687097","https://openalex.org/W2765854388","https://openalex.org/W2793039588","https://openalex.org/W2894788239","https://openalex.org/W2900068794","https://openalex.org/W2901889661","https://openalex.org/W2907875327","https://openalex.org/W2912392993","https://openalex.org/W2997620915","https://openalex.org/W3004424824","https://openalex.org/W3010638954","https://openalex.org/W3014223259","https://openalex.org/W3015728765","https://openalex.org/W3020582323","https://openalex.org/W3047608927","https://openalex.org/W3087389220","https://openalex.org/W3095103355","https://openalex.org/W3095704617","https://openalex.org/W3112378888","https://openalex.org/W3129835415","https://openalex.org/W3163658187","https://openalex.org/W4233480432"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W1974336862","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261"],"abstract_inverted_index":{"Tensile":[0],"strength,":[1],"warping":[2],"degree,":[3],"and":[4,20,23,93,122,127,148,168,173,194,200],"surface":[5],"roughness":[6],"are":[7],"important":[8],"indicators":[9],"to":[10,28,75,97,118],"evaluate":[11],"the":[12,29,53,60,64,69,77,83,99,104,120,125,129,136,150,159,174,179,195],"quality":[13,36,65,79,84,166],"of":[14,31,39,55,66,85,103,124,131,178],"fused":[15],"deposition":[16],"modeling":[17],"(FDM)":[18],"parts,":[19,68],"their":[21],"accurate":[22],"stable":[24],"prediction":[25,37,132,187],"is":[26],"helpful":[27],"development":[30],"FDM":[32,40,67,86,164],"technology.":[33],"Thus,":[34],"a":[35],"method":[38,72],"parts":[41],"based":[42,134],"on":[43,63,135],"an":[44,112],"optimized":[45],"deep":[46,107],"belief":[47,108],"network":[48,109],"was":[49,73],"proposed.":[50],"To":[51],"determine":[52,98],"combination":[54,102],"process":[56,169],"parameters":[57,170],"that":[58,81,142],"have":[59],"greatest":[61],"influence":[62],"correlation":[70],"analysis":[71],"used":[74],"screen":[76],"key":[78],"factors":[80],"affect":[82],"parts.":[87],"Then,":[88],"we":[89],"use":[90],"10-fold":[91],"cross-validation":[92],"grid":[94],"search":[95,115],"(GS)":[96],"optimal":[100],"hyperparameter":[101],"sparse":[105],"constrained":[106],"(SDBN),":[110],"propose":[111],"adaptive":[113],"cuckoo":[114],"(ACS)":[116],"algorithm":[117],"optimize":[119],"weights":[121],"biases":[123],"SDBN,":[126],"complete":[128],"construction":[130],"model":[133,152,180,196],"above":[137],"work.":[138],"The":[139,186],"results":[140],"show":[141],"compared":[143],"with":[144],"DBN,":[145],"LSTM,":[146],"RBFNN,":[147],"BPNN,":[149],"ACS-SDBN":[151],"designed":[153],"in":[154],"this":[155],"article":[156],"can":[157,181,189],"map":[158],"complex":[160],"nonlinear":[161],"relationship":[162],"between":[163],"part":[165],"characteristics":[167],"more":[171,183,191],"effectively,":[172],"CV":[175],"verification":[176],"accuracy":[177,188,199],"reach":[182,190],"than":[184,192],"95.92%.":[185],"96.67%,":[193],"has":[197],"higher":[198],"stability.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}