{"id":"https://openalex.org/W1949503316","doi":"https://doi.org/10.3390/e17085711","title":"Fruit Classification by Wavelet-Entropy and Feedforward Neural Network Trained by Fitness-Scaled Chaotic ABC and Biogeography-Based Optimization","display_name":"Fruit Classification by Wavelet-Entropy and Feedforward Neural Network Trained by Fitness-Scaled Chaotic ABC and Biogeography-Based Optimization","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W1949503316","doi":"https://doi.org/10.3390/e17085711","mag":"1949503316"},"language":"en","primary_location":{"id":"doi:10.3390/e17085711","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17085711","pdf_url":"https://www.mdpi.com/1099-4300/17/8/5711/pdf?version=1438949231","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/17/8/5711/pdf?version=1438949231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007987858","display_name":"Shuihua Wang\u200e","orcid":"https://orcid.org/0000-0003-4713-2791"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I4210144799","display_name":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing","ror":"https://ror.org/04dzj3g56","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144799"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuihua Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China","School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China","institution_ids":["https://openalex.org/I4210144799"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434437","display_name":"Yudong Zhang","orcid":"https://orcid.org/0000-0002-4870-1493"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I4210144799","display_name":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing","ror":"https://ror.org/04dzj3g56","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144799"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yudong Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China","School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China"],"raw_orcid":"https://orcid.org/0000-0002-4870-1493","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China","institution_ids":["https://openalex.org/I4210144799"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085214289","display_name":"Genlin Ji","orcid":"https://orcid.org/0000-0002-7475-1910"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genlin Ji","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102788884","display_name":"Jiquan Yang","orcid":"https://orcid.org/0000-0002-9723-5775"},"institutions":[{"id":"https://openalex.org/I4210144799","display_name":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing","ror":"https://ror.org/04dzj3g56","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144799"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiquan Yang","raw_affiliation_strings":["Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu 210042, China","institution_ids":["https://openalex.org/I4210144799"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianguo Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Wu","raw_affiliation_strings":["College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018462307","display_name":"Ling Wei","orcid":"https://orcid.org/0000-0002-9086-4368"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wei","raw_affiliation_strings":["School of Electronic Information & Electrical Engineering, Shanghai Jiaotong University,  Shanghai 200030, China","School of Electronic Information & Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information & Electrical Engineering, Shanghai Jiaotong University,  Shanghai 200030, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Electronic Information & Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100434437"],"corresponding_institution_ids":["https://openalex.org/I152031979","https://openalex.org/I4210144799"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":47.7249,"has_fulltext":true,"cited_by_count":166,"citation_normalized_percentile":{"value":0.99915538,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"17","issue":"8","first_page":"5711","last_page":"5728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7666552066802979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927239894866943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6820439100265503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.67019122838974},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6078409552574158},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5366776585578918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5147535800933838},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4695086181163788},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.425403356552124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35085219144821167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3328993618488312}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7666552066802979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927239894866943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6820439100265503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.67019122838974},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6078409552574158},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5366776585578918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147535800933838},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4695086181163788},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.425403356552124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35085219144821167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3328993618488312},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":3,"locations":[{"id":"doi:10.3390/e17085711","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17085711","pdf_url":"https://www.mdpi.com/1099-4300/17/8/5711/pdf?version=1438949231","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45fc398878c841fa837ee09f71c4edd3","is_oa":true,"landing_page_url":"https://doaj.org/article/45fc398878c841fa837ee09f71c4edd3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 17, Iss 8, Pp 5711-5728 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/17/8/5711/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e17085711","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e17085711","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17085711","pdf_url":"https://www.mdpi.com/1099-4300/17/8/5711/pdf?version=1438949231","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2296997404","display_name":null,"funder_award_id":"51407095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3213402248","display_name":null,"funder_award_id":"2013119XGQ0061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4140413611","display_name":null,"funder_award_id":"BE2013012-2","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4236896980","display_name":null,"funder_award_id":"61273243, 51407095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4283910809","display_name":null,"funder_award_id":"2014119XGQ0080","funder_id":"https://openalex.org/F4320310902","funder_display_name":"Nanjing Normal University"},{"id":"https://openalex.org/G4549454666","display_name":null,"funder_award_id":"BE2014009-3","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4870443198","display_name":null,"funder_award_id":"BE2012201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5018522681","display_name":null,"funder_award_id":"2013119XGQ0061","funder_id":"https://openalex.org/F4320310902","funder_display_name":"Nanjing Normal University"},{"id":"https://openalex.org/G5176273983","display_name":null,"funder_award_id":"13KJB460011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5441670805","display_name":null,"funder_award_id":"2014119XGQ0080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5767520152","display_name":null,"funder_award_id":"610011024, 61273243, 51407095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5932080728","display_name":null,"funder_award_id":"14KJB520021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6762097646","display_name":null,"funder_award_id":"BA2013058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7642477487","display_name":null,"funder_award_id":"610011024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7710819258","display_name":null,"funder_award_id":"61273243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8315620718","display_name":null,"funder_award_id":"BM2013006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310902","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1949503316.pdf","grobid_xml":"https://content.openalex.org/works/W1949503316.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W3563469","https://openalex.org/W158333118","https://openalex.org/W606205799","https://openalex.org/W644527247","https://openalex.org/W783608400","https://openalex.org/W1537090536","https://openalex.org/W1672221038","https://openalex.org/W1904440782","https://openalex.org/W1910576183","https://openalex.org/W1963939054","https://openalex.org/W1971167497","https://openalex.org/W1972516217","https://openalex.org/W1980848803","https://openalex.org/W1981356832","https://openalex.org/W1991686011","https://openalex.org/W1999140879","https://openalex.org/W2007382127","https://openalex.org/W2007755352","https://openalex.org/W2008987006","https://openalex.org/W2010110404","https://openalex.org/W2011898610","https://openalex.org/W2011967084","https://openalex.org/W2012898329","https://openalex.org/W2013383672","https://openalex.org/W2018720693","https://openalex.org/W2019115728","https://openalex.org/W2021655555","https://openalex.org/W2029472259","https://openalex.org/W2030387344","https://openalex.org/W2035424729","https://openalex.org/W2038344945","https://openalex.org/W2039121918","https://openalex.org/W2049586412","https://openalex.org/W2055957015","https://openalex.org/W2060117429","https://openalex.org/W2067799777","https://openalex.org/W2071818912","https://openalex.org/W2073594538","https://openalex.org/W2075478651","https://openalex.org/W2075538140","https://openalex.org/W2077350268","https://openalex.org/W2083504715","https://openalex.org/W2088357067","https://openalex.org/W2092709759","https://openalex.org/W2143608030","https://openalex.org/W2490083709","https://openalex.org/W6639759546"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W2994927414"],"abstract_inverted_index":{"Fruit":[0],"classification":[1,26,69],"is":[2],"quite":[3],"difficult":[4],"because":[5],"of":[6,15,32,98,114,125,136,147,159,172],"the":[7,80,95,170,179],"various":[8],"categories":[9,77],"and":[10,13,52,87,149],"similar":[11],"shapes":[12],"features":[14,173],"fruit.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"proposed":[21,81,180],"two":[22],"novel":[23],"machine-learning":[24],"based":[25],"methods.":[27,177],"The":[28,57,68],"developed":[29],"system":[30],"consists":[31],"wavelet":[33],"entropy":[34],"(WE),":[35],"principal":[36],"component":[37],"analysis":[38],"(PCA),":[39],"feedforward":[40],"neural":[41],"network":[42],"(FNN)":[43],"trained":[44],"by":[45,175],"fitness-scaled":[46],"chaotic":[47],"artificial":[48],"bee":[49],"colony":[50],"(FSCABC)":[51],"biogeography-based":[53],"optimization":[54],"(BBO),":[55],"respectively.":[56],"K-fold":[58],"stratified":[59],"cross":[60],"validation":[61],"(SCV)":[62],"was":[63],"utilized":[64],"for":[65,71,184],"statistical":[66],"analysis.":[67],"performance":[70],"1653":[72],"fruit":[73,185],"images":[74],"from":[75],"18":[76],"showed":[78],"that":[79],"\u201cWE":[82,88],"+":[83,85,89,91,105,107,109,111,117,119,121,123,128,130,132,134,139,141,143,145,151,153,155,157],"PCA":[84,90,110,122,133,144,156],"FSCABC-FNN\u201d":[86,158],"BBO-FNN\u201d":[92],"methods":[93,163,181],"achieve":[94],"same":[96],"accuracy":[97],"89.5%,":[99],"higher":[100],"than":[101,169],"state-of-the-art":[102],"approaches:":[103],"\u201c(CH":[104,116,127,138,150],"MP":[106,118,129,140,152],"US)":[108,120,131,142,154],"GA-FNN":[112],"\u201d":[113],"84.8%,":[115],"PSO-FNN\u201d":[124],"87.9%,":[126],"ABC-FNN\u201d":[135],"85.4%,":[137],"kSVM\u201d":[146],"88.2%,":[148],"89.1%.":[160],"Besides,":[161],"our":[162],"used":[164,174],"only":[165],"12":[166],"features,":[167],"less":[168],"number":[171],"other":[176],"Therefore,":[178],"are":[182],"effective":[183],"classification.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":34},{"year":2016,"cited_by_count":30},{"year":2015,"cited_by_count":11}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}