{"id":"https://openalex.org/W3107458931","doi":"https://doi.org/10.1109/isssr51244.2020.00010","title":"Convolutional Neural Network Algorithm based on Improved Support Vector Machine","display_name":"Convolutional Neural Network Algorithm based on Improved Support Vector Machine","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3107458931","doi":"https://doi.org/10.1109/isssr51244.2020.00010","mag":"3107458931"},"language":"en","primary_location":{"id":"doi:10.1109/isssr51244.2020.00010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr51244.2020.00010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","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":null,"display_name":"Zhang Suzhi","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Suzhi","raw_affiliation_strings":["Zhengzhou University of Light Industry,School of Software,Zhengzhou,China","School of Software, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry,School of Software,Zhengzhou,China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"School of Software, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014310702","display_name":"Yuhong Wu","orcid":"https://orcid.org/0000-0003-0692-440X"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Yuhong","raw_affiliation_strings":["Zhengzhou University of Light Industry,School of Computer and Communication Engineering,Zhengzhou,China","School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry,School of Computer and Communication Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13515799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"35","issue":null,"first_page":"6","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9940999746322632,"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/softmax-function","display_name":"Softmax function","score":0.8515897989273071},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7492552995681763},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7331644296646118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144231796264648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.645003080368042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5692702531814575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5568973422050476},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4911801517009735},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.44769445061683655},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4446975886821747},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4368087947368622},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4311537742614746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3249446153640747}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8515897989273071},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7492552995681763},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7331644296646118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144231796264648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645003080368042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5692702531814575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5568973422050476},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4911801517009735},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.44769445061683655},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4446975886821747},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4368087947368622},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4311537742614746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3249446153640747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isssr51244.2020.00010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr51244.2020.00010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W172054350","https://openalex.org/W639708223","https://openalex.org/W2112739286","https://openalex.org/W2112796928","https://openalex.org/W2602132298","https://openalex.org/W2810619775"],"related_works":["https://openalex.org/W4291214623","https://openalex.org/W2683383161","https://openalex.org/W2119118554","https://openalex.org/W2352397209","https://openalex.org/W2528215262","https://openalex.org/W2189588699","https://openalex.org/W2565312173","https://openalex.org/W147281455","https://openalex.org/W2019129831","https://openalex.org/W2387907531"],"abstract_inverted_index":{"This":[0,40,98],"electronic":[1],"Aiming":[2],"at":[3],"the":[4,7,14,43,49,54,59,65,78,85,115,119,125,131,135,148],"problem":[5,57],"that":[6],"traditional":[8,79,120],"Convolutional":[9],"Neural":[10],"Network":[11],"algorithm":[12,31,41,100,117,133,151],"uses":[13,42],"Softmax":[15,50],"function":[16,51],"to":[17,52,89,103],"classify":[18],"tires":[19],"with":[20],"poor":[21],"accuracy,":[22],"a":[23,68,72,109],"convolutional":[24,60,121],"neural":[25,61,122],"network":[26,62,123],"image":[27,55,106],"classification":[28,56,96,126,136],"and":[29,71,118,127,137],"recognition":[30,128,138],"based":[32],"on":[33,134],"improved":[34,99,116,132,150],"support":[35,44,80,86],"vector":[36,45,81,87],"machine":[37,46,88],"is":[38,101,152],"proposed.":[39],"instead":[47],"of":[48,111,130,139,147],"complete":[53],"in":[58],"algorithm.":[63],"At":[64],"same":[66],"time,":[67],"relaxation":[69],"variable":[70],"penalty":[73],"factor":[74],"are":[75,143],"introduced":[76],"into":[77],"machine,":[82],"thereby":[83],"changing":[84],"be":[90],"used":[91],"for":[92,94],"classifier":[93],"multiple":[95],"problems.":[97],"applied":[102],"tire":[104,141],"damage":[105],"recognition.":[107],"Through":[108],"series":[110],"comparison":[112],"experiments":[113],"between":[114],"algorithm,":[124],"effects":[129],"damaged":[140],"images":[142],"analyzed.":[144],"The":[145],"effectiveness":[146],"proposed":[149],"proved.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
