{"id":"https://openalex.org/W2094732081","doi":"https://doi.org/10.1109/ijcnn.2014.6889943","title":"Recognition of sintering state in rotary kiln using a robust extreme learning machine","display_name":"Recognition of sintering state in rotary kiln using a robust extreme learning machine","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2094732081","doi":"https://doi.org/10.1109/ijcnn.2014.6889943","mag":"2094732081"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054763702","display_name":"Hua Chen","orcid":"https://orcid.org/0000-0002-1563-5274"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chen","raw_affiliation_strings":["School of Information Science and Engineering, Hunan University, ChangSha, China","[School of Information Science and Engineering, Hunan University, ChangSha, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan University, ChangSha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Hunan University, ChangSha, China]","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058086735","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6269-6849"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Hunan University, ChangSha, China","[School of Information Science and Engineering, Hunan University, ChangSha, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan University, ChangSha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Hunan University, ChangSha, China]","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037855900","display_name":"Hongping Hu","orcid":"https://orcid.org/0000-0001-9708-9141"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongping Hu","raw_affiliation_strings":["School of Information Science and Engineering, Hunan University, ChangSha, China","[School of Information Science and Engineering, Hunan University, ChangSha, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hunan University, ChangSha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Hunan University, ChangSha, China]","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004598723","display_name":"Xiaogang Zhang","orcid":"https://orcid.org/0000-0002-2576-2576"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, ChangSha, China","Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, ChangSha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, , China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.4135,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60391831,"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":"2564","last_page":"2570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9761000275611877,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9447000026702881,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7574734091758728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6364967823028564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582221150398254},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5470744371414185},{"id":"https://openalex.org/keywords/sintering","display_name":"Sintering","score":0.5209949612617493},{"id":"https://openalex.org/keywords/rotary-kiln","display_name":"Rotary kiln","score":0.515168309211731},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5143424272537231},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49740245938301086},{"id":"https://openalex.org/keywords/kiln","display_name":"Kiln","score":0.4873858094215393},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4302801489830017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4080498516559601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3562629222869873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34258681535720825},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24225831031799316},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20945248007774353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19722557067871094},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09533166885375977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08548006415367126}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7574734091758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6364967823028564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582221150398254},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5470744371414185},{"id":"https://openalex.org/C2777581544","wikidata":"https://www.wikidata.org/wiki/Q844613","display_name":"Sintering","level":2,"score":0.5209949612617493},{"id":"https://openalex.org/C2776214959","wikidata":"https://www.wikidata.org/wiki/Q1256630","display_name":"Rotary kiln","level":3,"score":0.515168309211731},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5143424272537231},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49740245938301086},{"id":"https://openalex.org/C19229882","wikidata":"https://www.wikidata.org/wiki/Q1724341","display_name":"Kiln","level":2,"score":0.4873858094215393},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4302801489830017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4080498516559601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3562629222869873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34258681535720825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24225831031799316},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20945248007774353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19722557067871094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09533166885375977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08548006415367126},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1979659993","https://openalex.org/W1986492224","https://openalex.org/W1990938413","https://openalex.org/W1994546803","https://openalex.org/W1999337702","https://openalex.org/W2000801535","https://openalex.org/W2002608372","https://openalex.org/W2020647418","https://openalex.org/W2064699285","https://openalex.org/W2065060269","https://openalex.org/W2071480819","https://openalex.org/W2076360221","https://openalex.org/W2097135179","https://openalex.org/W2107332236","https://openalex.org/W2111072639","https://openalex.org/W2113076747","https://openalex.org/W2122040390","https://openalex.org/W2126299121","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2152907901","https://openalex.org/W2153845355","https://openalex.org/W2169976759","https://openalex.org/W4256068510","https://openalex.org/W6676124290","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W2381648508","https://openalex.org/W2379039183","https://openalex.org/W2349876136","https://openalex.org/W2366415532","https://openalex.org/W2602324993","https://openalex.org/W2354304268","https://openalex.org/W2229708868","https://openalex.org/W2350952859","https://openalex.org/W2189073457","https://openalex.org/W2518781903"],"abstract_inverted_index":{"Sintering":[0],"is":[1,16,65,77,124],"a":[2,27,35,52,72,103,108],"key":[3],"process":[4,22,47],"for":[5,20,81,126],"the":[6,82,89,136],"industrial":[7],"clinker":[8,15],"production.":[9],"The":[10],"sintering":[11,46,130,141],"state":[12,142],"estimation":[13],"in":[14,48,93],"an":[17],"essential":[18],"factor":[19],"its":[21],"control.":[23],"In":[24,85],"this":[25],"paper,":[26],"feature":[28,75],"extraction":[29],"method":[30,120,138],"from":[31,79],"flame":[32,63],"image":[33,55,64,99],"and":[34,57,71,100,145],"robust":[36,109],"extreme":[37,110],"learning":[38,111],"machine":[39],"(RB-ELM)":[40],"classifier":[41],"are":[42],"provided":[43],"to":[44,87,101],"recognize":[45,140],"rotary":[49],"kiln.":[50],"After":[51],"preprocessing":[53],"of":[54,62,91,129],"denoising":[56],"illumination":[58],"compensation,":[59],"material":[60],"region":[61,68],"segmented":[66],"by":[67,97],"growing":[69],"algorithm":[70],"5-D":[73],"statistic":[74],"vector":[76],"extracted":[78],"it":[80],"following":[83],"classifier.":[84],"order":[86],"reduce":[88],"influence":[90],"outliers":[92],"training":[94],"data":[95],"caused":[96],"blurring":[98],"achieve":[102],"real-time":[104],"application":[105],"on":[106,122],"site,":[107],"machine,":[112],"which":[113],"adopted":[114],"iterative":[115],"weight":[116],"least":[117],"square":[118],"(IWLS)":[119],"based":[121],"M-estimator,":[123],"used":[125],"fast":[127],"classification":[128],"state.":[131],"Experimental":[132],"results":[133],"show":[134],"that":[135],"proposed":[137],"can":[139],"accurately,":[143],"quickly":[144],"robustly.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}