{"id":"https://openalex.org/W3082056562","doi":"https://doi.org/10.1142/s0218001421510022","title":"Parameter Optimization of Impedance Gradient Change Medium Based on Reinforcement Learning","display_name":"Parameter Optimization of Impedance Gradient Change Medium Based on Reinforcement Learning","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3082056562","doi":"https://doi.org/10.1142/s0218001421510022","mag":"3082056562"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001421510022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421510022","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100343533","display_name":"Ke Li","orcid":"https://orcid.org/0000-0003-0627-0573"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Li","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Jiefang Road 717, 145 Mailbox, Wuhan 430033, Hubei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Jiefang Road 717, 145 Mailbox, Wuhan 430033, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516799","display_name":"Shengjun Li","orcid":"https://orcid.org/0000-0002-0377-6862"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengjun Li","raw_affiliation_strings":["Innovation Center of Sichuan Jiuzhou Electric Group Co. Ltd, Chengdu, Sichuan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Innovation Center of Sichuan Jiuzhou Electric Group Co. Ltd, Chengdu, Sichuan, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111706536","display_name":"Zhonghua Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Bao","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873270","display_name":"Qianqian Liu","orcid":"https://orcid.org/0000-0002-8657-9839"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Liu","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722887","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-9596-4536"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Naval University of Engineering, Wuhan, Hubei, P. R. China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100343533"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4228736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"35","issue":"02","first_page":"2151002","last_page":"2151002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.8824999928474426,"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"}},"topics":[{"id":"https://openalex.org/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.8824999928474426,"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"}},{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.8274999856948853,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.7865999937057495,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6847438812255859},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.6361529231071472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141372919082642},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.5484439134597778},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.47833964228630066},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4445438086986542},{"id":"https://openalex.org/keywords/acoustic-impedance","display_name":"Acoustic impedance","score":0.4100441634654999},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.25041496753692627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22985482215881348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15486839413642883},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11816984415054321}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6847438812255859},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.6361529231071472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141372919082642},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.5484439134597778},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.47833964228630066},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4445438086986542},{"id":"https://openalex.org/C98937189","wikidata":"https://www.wikidata.org/wiki/Q975684","display_name":"Acoustic impedance","level":3,"score":0.4100441634654999},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.25041496753692627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22985482215881348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15486839413642883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11816984415054321},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001421510022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001421510022","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2095292009","https://openalex.org/W2791134267","https://openalex.org/W2973149860","https://openalex.org/W2983057554","https://openalex.org/W3011001159"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W4384298170","https://openalex.org/W2027640951","https://openalex.org/W2067937691","https://openalex.org/W2566931492","https://openalex.org/W2286779540"],"abstract_inverted_index":{"Based":[0],"on":[1,42],"the":[2,9,12,33,36,48,65,78,93,97,100,108,116,125,135],"relative":[3],"researches,":[4],"in":[5,26,54,64,70,119],"order":[6,71],"to":[7,21,72,91,124,133,138],"solve":[8],"problem":[10],"that":[11,115],"parameters":[13,34,79,130],"of":[14,32,35,51,80,99],"impedance":[15,37,55,84],"gradient":[16,38,56],"change":[17,39],"medium":[18,40,57,66],"are":[19,131],"difficult":[20],"be":[22],"optimized":[23,87],"and":[24,83],"generalized":[25],"different":[27],"environments,":[28],"an":[29],"optimization":[30],"method":[31,117],"based":[41],"reinforcement":[43,102],"learning":[44,103],"was":[45,58,67,105,122],"proposed.":[46],"First,":[47],"propagation":[49],"principle":[50],"sound":[52,61,81,94],"wave":[53],"analyzed.":[59],"The":[60,111,128],"field":[62],"distribution":[63,85],"also":[68],"studied,":[69],"master":[73],"its":[74],"acoustic":[75,136],"characteristics.":[76],"Second,":[77],"velocity":[82],"were":[86],"by":[88,107],"DQN":[89],"algorithm":[90],"reduce":[92,134],"reflection.":[95],"Finally,":[96],"effectiveness":[98],"proposed":[101],"model":[104],"verified":[106],"traditional":[109,126],"method.":[110,127],"experimental":[112],"results":[113],"show":[114],"presented":[118],"this":[120],"paper":[121],"superior":[123],"trained":[129],"effective":[132],"reflection":[137],"a":[139],"lower":[140],"level.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}