{"id":"https://openalex.org/W178741784","doi":"https://doi.org/10.1007/978-3-7091-7535-4_115","title":"Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems","display_name":"Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W178741784","doi":"https://doi.org/10.1007/978-3-7091-7535-4_115","mag":"178741784"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-7091-7535-4_115","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7091-7535-4_115","pdf_url":null,"source":{"id":"https://openalex.org/S4363606524","display_name":"Artificial Neural Nets and Genetic Algorithms","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Neural Nets and Genetic Algorithms","raw_type":"book-chapter"},"type":"book-chapter","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/A5056684926","display_name":"Alexei Skurikhin","orcid":"https://orcid.org/0000-0001-5606-4933"},"institutions":[{"id":"https://openalex.org/I4210088298","display_name":"Institute for Physics and Power Engineering","ror":"https://ror.org/006f4zn23","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210088298"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexei N. Skurikhin","raw_affiliation_strings":["Mathematics Department, Institute of Physics and Power Engineering, Obninsk, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, Institute of Physics and Power Engineering, Obninsk, Russia","institution_ids":["https://openalex.org/I4210088298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019382444","display_name":"Alvin J. Surkan","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alvin J. Surkan","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska Lincoln, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska Lincoln, USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4654,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57051736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"444","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9438999891281128,"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/T10320","display_name":"Neural Networks and Applications","score":0.9438999891281128,"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/backpropagation","display_name":"Backpropagation","score":0.6997691988945007},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6994817852973938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747438311576843},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5675520896911621},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5601320862770081},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5352047085762024},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4858705401420593},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4790935814380646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4583437442779541},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42930951714515686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4230424761772156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24103620648384094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1648460328578949},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09102940559387207}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6997691988945007},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6994817852973938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747438311576843},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5675520896911621},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5601320862770081},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5352047085762024},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4858705401420593},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4790935814380646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4583437442779541},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42930951714515686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4230424761772156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24103620648384094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1648460328578949},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09102940559387207},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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":1,"locations":[{"id":"doi:10.1007/978-3-7091-7535-4_115","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7091-7535-4_115","pdf_url":null,"source":{"id":"https://openalex.org/S4363606524","display_name":"Artificial Neural Nets and Genetic Algorithms","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Neural Nets and Genetic Algorithms","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1746958655","https://openalex.org/W2064152920","https://openalex.org/W2109779438","https://openalex.org/W2146972303","https://openalex.org/W2766736793","https://openalex.org/W3200121635","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W4239286941","https://openalex.org/W1601203902","https://openalex.org/W2088845016","https://openalex.org/W2075798043","https://openalex.org/W589102260","https://openalex.org/W4390419160","https://openalex.org/W2002692499"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
