{"id":"https://openalex.org/W2617424585","doi":"https://doi.org/10.1007/s00500-017-2653-0","title":"Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine","display_name":"Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine","publication_year":2017,"publication_date":"2017-05-29","ids":{"openalex":"https://openalex.org/W2617424585","doi":"https://doi.org/10.1007/s00500-017-2653-0","mag":"2617424585"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-017-2653-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-017-2653-0","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-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/A5091324331","display_name":"Peifeng Niu","orcid":"https://orcid.org/0000-0003-3066-429X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peifeng Niu","raw_affiliation_strings":["Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056052273","display_name":"Yunpeng Ma","orcid":"https://orcid.org/0000-0001-5233-8968"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunpeng Ma","raw_affiliation_strings":["Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354142","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0001-9005-7112"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056052273"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.2075,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.62379213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"14","first_page":"4685","last_page":"4701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10320","display_name":"Neural Networks and Applications","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9203243255615234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765164136886597},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5341082811355591},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5303096771240234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5147914886474609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3866252601146698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.300160676240921}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9203243255615234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765164136886597},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5341082811355591},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5303096771240234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5147914886474609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3866252601146698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.300160676240921},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-017-2653-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-017-2653-0","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5857243547","display_name":null,"funder_award_id":"61573306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7080429374","display_name":null,"funder_award_id":"61403331","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1520795727","https://openalex.org/W1565746575","https://openalex.org/W1968981675","https://openalex.org/W1972977357","https://openalex.org/W1978641127","https://openalex.org/W1979793758","https://openalex.org/W1990938413","https://openalex.org/W1992365893","https://openalex.org/W2001647046","https://openalex.org/W2002833181","https://openalex.org/W2003608156","https://openalex.org/W2010664736","https://openalex.org/W2023459473","https://openalex.org/W2025224198","https://openalex.org/W2025768430","https://openalex.org/W2026107979","https://openalex.org/W2026131661","https://openalex.org/W2026439047","https://openalex.org/W2039361386","https://openalex.org/W2040604977","https://openalex.org/W2065060269","https://openalex.org/W2070321991","https://openalex.org/W2072128103","https://openalex.org/W2075283411","https://openalex.org/W2076551186","https://openalex.org/W2103496339","https://openalex.org/W2111072639","https://openalex.org/W2114229561","https://openalex.org/W2117509017","https://openalex.org/W2118706537","https://openalex.org/W2123301984","https://openalex.org/W2124583192","https://openalex.org/W2128633998","https://openalex.org/W2131847304","https://openalex.org/W2136602355","https://openalex.org/W2138260443","https://openalex.org/W2141695047","https://openalex.org/W2145094598","https://openalex.org/W2147243899","https://openalex.org/W2148446997","https://openalex.org/W2152135067","https://openalex.org/W2159311532","https://openalex.org/W2163572752","https://openalex.org/W2165967751","https://openalex.org/W2172000360","https://openalex.org/W2256578114","https://openalex.org/W2293339254","https://openalex.org/W4231109964","https://openalex.org/W4240369198","https://openalex.org/W4254183530"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W1969847908","https://openalex.org/W2969890106","https://openalex.org/W3034021666","https://openalex.org/W2898900925","https://openalex.org/W3170224572","https://openalex.org/W4393036827"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
