{"id":"https://openalex.org/W3070883028","doi":"https://doi.org/10.1109/iske47853.2019.9170396","title":"On the Practical Optimal Momentum Parameters","display_name":"On the Practical Optimal Momentum Parameters","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3070883028","doi":"https://doi.org/10.1109/iske47853.2019.9170396","mag":"3070883028"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5007758121","display_name":"Naimin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Naimin Zhang","raw_affiliation_strings":["Wenzhou University,Department of Mathematics,Wenzhou,PR China,325035","Department of Mathematics, Wenzhou University, Wenzhou, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou University,Department of Mathematics,Wenzhou,PR China,325035","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"Department of Mathematics, Wenzhou University, Wenzhou, PR China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007758121"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28997677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"542","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13126","display_name":"Scientific Research and Discoveries","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10739","display_name":"Electromagnetic Scattering and Analysis","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.7400376796722412},{"id":"https://openalex.org/keywords/method-of-steepest-descent","display_name":"Method of steepest descent","score":0.6902912259101868},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5695627331733704},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5583220720291138},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.5449198484420776},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5376924276351929},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4913910925388336},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4618707001209259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4387434124946594},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4298981726169586},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.42087873816490173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3791365921497345},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14248153567314148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07883131504058838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.057891517877578735}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.7400376796722412},{"id":"https://openalex.org/C158847443","wikidata":"https://www.wikidata.org/wiki/Q1997812","display_name":"Method of steepest descent","level":2,"score":0.6902912259101868},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5695627331733704},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5583220720291138},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.5449198484420776},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5376924276351929},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4913910925388336},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4618707001209259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4387434124946594},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4298981726169586},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.42087873816490173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3791365921497345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14248153567314148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07883131504058838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.057891517877578735},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1993361367","https://openalex.org/W2048583434","https://openalex.org/W2091625991","https://openalex.org/W2139276941","https://openalex.org/W2148991744","https://openalex.org/W2155993847","https://openalex.org/W2162941631"],"related_works":["https://openalex.org/W2393439324","https://openalex.org/W2081157561","https://openalex.org/W131846159","https://openalex.org/W3197592642","https://openalex.org/W2155993847","https://openalex.org/W2914176832","https://openalex.org/W2088010696","https://openalex.org/W2386196923","https://openalex.org/W2075961230","https://openalex.org/W2162941631"],"abstract_inverted_index":{"This":[0],"short":[1],"note":[2,43],"presents":[3],"the":[4,8,20,25,29,52],"optimal":[5,22,49],"parameters":[6,23,50],"of":[7,32,47],"steepest":[9],"descent":[10],"method":[11],"with":[12,35],"momentum":[13],"for":[14],"minimizing":[15],"a":[16,33],"quadratic":[17],"function.":[18],"Since":[19],"existing":[21],"in":[24],"literature":[26],"rely":[27],"on":[28],"eigenvalue":[30,53],"approximation":[31],"matrix":[34],"high":[36],"order,":[37],"which":[38],"is":[39],"very":[40],"expensive,":[41],"this":[42],"gives":[44],"another":[45],"kind":[46],"practical":[48],"without":[51],"evaluation.":[54]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}