{"id":"https://openalex.org/W2992811721","doi":"https://doi.org/10.1109/idaacs.2019.8924322","title":"Image Classification Based on BP Neural Network and Sine Cosine Algorithm","display_name":"Image Classification Based on BP Neural Network and Sine Cosine Algorithm","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2992811721","doi":"https://doi.org/10.1109/idaacs.2019.8924322","mag":"2992811721"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2019.8924322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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/A5031288500","display_name":"Haoqiu Song","orcid":"https://orcid.org/0000-0001-5733-4085"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqiu Song","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Information Processing, Fujian Province University,China","Key Laboratory of Intelligent Computing and Information Processing, Fujian Province University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing, Fujian Province University,China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing, Fujian Province University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103162139","display_name":"Chunzhi Wang","orcid":"https://orcid.org/0000-0002-9620-3421"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunzhi Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037591175","display_name":"Lingyu Yan","orcid":"https://orcid.org/0000-0003-2468-3881"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Yan","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,China","School of Computer Science, Hubei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5058,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67320315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"562","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9962999820709229,"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":0.9962999820709229,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9746000170707703,"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":0.9718000292778015,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7704087495803833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7270074486732483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362860202789307},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5476705431938171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5360337495803833},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5326414108276367},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5280095934867859},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5094011425971985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4979574680328369},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4830085039138794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47819235920906067},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4714839458465576},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45620134472846985},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.4401148557662964},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4164503514766693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38138967752456665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22394955158233643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21646800637245178}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7704087495803833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7270074486732483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362860202789307},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5476705431938171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360337495803833},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5326414108276367},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5280095934867859},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5094011425971985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4979574680328369},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4830085039138794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47819235920906067},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4714839458465576},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45620134472846985},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.4401148557662964},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4164503514766693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38138967752456665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22394955158233643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21646800637245178},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs.2019.8924322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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":10,"referenced_works":["https://openalex.org/W354127516","https://openalex.org/W1737787488","https://openalex.org/W1980480036","https://openalex.org/W2108082645","https://openalex.org/W2116566233","https://openalex.org/W2120846928","https://openalex.org/W2148596671","https://openalex.org/W2186608291","https://openalex.org/W2232317135","https://openalex.org/W2516999636"],"related_works":["https://openalex.org/W2063166054","https://openalex.org/W2358475213","https://openalex.org/W3142213391","https://openalex.org/W2328538906","https://openalex.org/W2028663913","https://openalex.org/W1775321609","https://openalex.org/W2066336292","https://openalex.org/W4226341002","https://openalex.org/W2124469656","https://openalex.org/W1567793764"],"abstract_inverted_index":{"Image":[0],"classification":[1,117,132],"is":[2,18,112,134],"one":[3],"of":[4,98],"the":[5,23,29,34,70,86,96,116,124,131],"most":[6,71],"important":[7],"tasks":[8],"in":[9,38],"image":[10],"analysis":[11],"and":[12,33,64,73,79,130],"computer":[13],"vision.":[14],"BP":[15,39,55,137],"neural":[16,56,138],"network":[17,57,139],"a":[19,92,101,103],"successful":[20,72],"classifier":[21],"for":[22,47],"task.":[24],"However,":[25],"with":[26],"regard":[27],"to":[28,83,114],"low":[30],"study":[31],"efficiency":[32],"slow":[35],"convergence":[36],"speed":[37],"algorithm,":[40],"some":[41],"optimization":[42,62,105],"algorithms":[43],"have":[44],"been":[45],"proposed":[46,125],"achieving":[48],"better":[49,135],"results.":[50],"Among":[51],"all":[52],"these":[53],"methods,":[54],"improved":[58],"by":[59,141],"particle":[60],"swarm":[61],"(PSO)":[63],"genetic":[65],"algorithm":[66,106,110],"(GA)":[67],"may":[68],"be":[69],"classical":[74],"ones.":[75],"Nevertheless,":[76],"both":[77],"GA":[78],"PSO":[80,143],"are":[81],"easy":[82],"fall":[84],"into":[85],"local":[87],"optimal":[88],"solution,":[89],"which":[90],"has":[91,127],"great":[93],"impact":[94],"on":[95],"precision":[97],"classification.":[99],"As":[100],"result,":[102],"novel":[104],"called":[107],"sine":[108],"cosine":[109],"(SCA)":[111],"presented":[113],"improve":[115],"performance.":[118],"The":[119],"experimental":[120],"results":[121],"manifest":[122],"that":[123],"method":[126],"good":[128],"performances,":[129],"accuracy":[133],"than":[136],"optimized":[140],"GA,":[142],"or":[144],"other":[145],"algorithms.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
