{"id":"https://openalex.org/W4376852324","doi":"https://doi.org/10.1145/3573942.3573955","title":"Research on Radar Corrosion Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm","display_name":"Research on Radar Corrosion Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852324","doi":"https://doi.org/10.1145/3573942.3573955"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3573955","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3573955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-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/A5055334492","display_name":"Duanquan Fan","orcid":"https://orcid.org/0000-0002-0942-3080"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Duanquan Fan","raw_affiliation_strings":["School of Computer Science, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-0942-3080","affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102906118","display_name":"Lei Yin","orcid":"https://orcid.org/0000-0002-9447-9483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yin","raw_affiliation_strings":["School of Electro-Mechanical Engineering, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-9447-9483","affiliations":[{"raw_affiliation_string":"School of Electro-Mechanical Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008221189","display_name":"L Shen","orcid":"https://orcid.org/0000-0003-4984-811X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longwen Shen","raw_affiliation_strings":["School of Electro-Mechanical Engineering, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0003-4984-811X","affiliations":[{"raw_affiliation_string":"School of Electro-Mechanical Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055334492"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19631989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":null,"first_page":"83","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14156","display_name":"Engineering Applied Research","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9290000200271606,"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/T13965","display_name":"Laser and Thermal Forming Techniques","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.7863157987594604},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7851189374923706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7542040944099426},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.5353662371635437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5309215188026428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4467056691646576},{"id":"https://openalex.org/keywords/corrosion","display_name":"Corrosion","score":0.4363780915737152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4117076098918915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2879610061645508},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20213249325752258},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19140765070915222},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.06966716051101685}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7863157987594604},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7851189374923706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7542040944099426},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.5353662371635437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5309215188026428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4467056691646576},{"id":"https://openalex.org/C20625102","wikidata":"https://www.wikidata.org/wiki/Q137056","display_name":"Corrosion","level":2,"score":0.4363780915737152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4117076098918915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2879610061645508},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20213249325752258},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19140765070915222},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.06966716051101685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3573955","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3573955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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":10,"referenced_works":["https://openalex.org/W2909442593","https://openalex.org/W2990714382","https://openalex.org/W2998167436","https://openalex.org/W3128881846","https://openalex.org/W3130624276","https://openalex.org/W3208261418","https://openalex.org/W3212380016","https://openalex.org/W3213840821","https://openalex.org/W4200184101","https://openalex.org/W4207066936"],"related_works":["https://openalex.org/W2372415543","https://openalex.org/W2354205711","https://openalex.org/W2808717917","https://openalex.org/W2377292223","https://openalex.org/W2366584243","https://openalex.org/W2376563992","https://openalex.org/W2360006733","https://openalex.org/W4304590249","https://openalex.org/W2366368367","https://openalex.org/W2385996327"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"prediction":[4,55,70],"model":[5,28],"for":[6],"radar":[7,57,72,83],"antenna":[8,73,84],"corrosion":[9,60,74,85],"based":[10,75],"on":[11,76],"BP":[12,37],"neural":[13],"network":[14,27,38],"optimized":[15,30,39],"by":[16,31,40,51],"genetic":[17,33,42],"algorithm.":[18],"The":[19,64],"initial":[20],"connection":[21],"weights":[22],"and":[23,46],"thresholds":[24],"of":[25,56,71,82],"the":[26,32,36,41,47,54,69,79],"are":[29],"algorithm,":[34],"then":[35],"algorithm":[43],"is":[44,49],"designed,":[45],"method":[48],"validated":[50],"simulation":[52],"using":[53],"whole":[58],"machine":[59],"as":[61],"an":[62],"example.":[63],"experimental":[65],"results":[66],"show":[67],"that":[68],"GA-BP":[77],"meets":[78],"accuracy":[80],"requirements":[81],"prediction.":[86]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}