{"id":"https://openalex.org/W4361282509","doi":"https://doi.org/10.1155/2023/9970205","title":"Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction","display_name":"Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction","publication_year":2023,"publication_date":"2023-03-29","ids":{"openalex":"https://openalex.org/W4361282509","doi":"https://doi.org/10.1155/2023/9970205"},"language":"en","primary_location":{"id":"doi:10.1155/2023/9970205","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9970205","pdf_url":"https://downloads.hindawi.com/journals/dsn/2023/9970205.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/dsn/2023/9970205.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059732691","display_name":"Yueying Li","orcid":"https://orcid.org/0000-0001-6772-9240"},"institutions":[{"id":"https://openalex.org/I38756568","display_name":"Xinyang College of Agriculture and Forestry","ror":"https://ror.org/017t6fa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I38756568"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueying Li","raw_affiliation_strings":["College of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang 464000, China","institution_ids":["https://openalex.org/I38756568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023981353","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0002-6736-5878"},"institutions":[{"id":"https://openalex.org/I38756568","display_name":"Xinyang College of Agriculture and Forestry","ror":"https://ror.org/017t6fa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I38756568"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Wu","raw_affiliation_strings":["College of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang 464000, China","institution_ids":["https://openalex.org/I38756568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023981353"],"corresponding_institution_ids":["https://openalex.org/I38756568"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.6993,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74126355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9764999747276306,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9764999747276306,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9452000260353088,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903807163238525},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7675163149833679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6468498110771179},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.5976413488388062},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5492071509361267},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5325357913970947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5114344954490662},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.505870521068573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44847509264945984},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.432122141122818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419566750526428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07484069466590881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903807163238525},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7675163149833679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6468498110771179},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.5976413488388062},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5492071509361267},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5325357913970947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5114344954490662},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.505870521068573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44847509264945984},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.432122141122818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419566750526428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07484069466590881},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2023/9970205","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9970205","pdf_url":"https://downloads.hindawi.com/journals/dsn/2023/9970205.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:582680adbd8748a188c34e8122c20089","is_oa":true,"landing_page_url":"https://doaj.org/article/582680adbd8748a188c34e8122c20089","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 2023 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2023/9970205","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9970205","pdf_url":"https://downloads.hindawi.com/journals/dsn/2023/9970205.pdf","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361282509.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1981956388","https://openalex.org/W2196341743","https://openalex.org/W2620947159","https://openalex.org/W2755725365","https://openalex.org/W2765928069","https://openalex.org/W2792501991","https://openalex.org/W2795314092","https://openalex.org/W2803054784","https://openalex.org/W2923810966","https://openalex.org/W2931619664","https://openalex.org/W2945125411","https://openalex.org/W2945788003","https://openalex.org/W2946504024","https://openalex.org/W2950399464","https://openalex.org/W2952685330","https://openalex.org/W2963121727","https://openalex.org/W2967878329","https://openalex.org/W3012866219","https://openalex.org/W3013219028","https://openalex.org/W3023312596","https://openalex.org/W3031087087","https://openalex.org/W3033777149","https://openalex.org/W3035195341","https://openalex.org/W3044515030","https://openalex.org/W3082161389","https://openalex.org/W3094704314","https://openalex.org/W3095773778","https://openalex.org/W3105324058","https://openalex.org/W3127425528","https://openalex.org/W3187841728","https://openalex.org/W4225682144","https://openalex.org/W4285733121","https://openalex.org/W4304092025","https://openalex.org/W4313646764","https://openalex.org/W4320481013"],"related_works":["https://openalex.org/W42170614","https://openalex.org/W2364947648","https://openalex.org/W2568269143","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"],"abstract_inverted_index":{"To":[0],"address":[1,97],"the":[2,12,27,34,39,43,47,55,62,70,81,92,98,110,116,120,125,131,139,143,147,151,155,159,163,167,173,179,186,201,205,215,218,222],"problems":[3],"of":[4,11,33,42,49,119,130,142,154,161,194,211],"low":[5],"prediction":[6,16,31,209],"accuracy":[7],"and":[8,58,77,84,87,124,157,183,200,221,225],"slow":[9],"convergence":[10,89],"network":[13,28,176,182,187,206,232],"security":[14,29,188,207,233],"posture":[15,30,189,208],"model,":[17],"a":[18,73,85,107],"population":[19],"intelligence":[20],"optimization":[21,65,128,196],"algorithm":[22,67,133,169],"is":[23,51,102,113,134,170,198],"proposed":[24],"to":[25,96,104,136,177,185],"improve":[26],"model":[32,213],"BP":[35,174,180],"neural":[36,175,181],"network.":[37],"First,":[38],"adaptive":[40],"adjustment":[41],"two":[44],"parameters":[45],"with":[46,172],"increase":[48],"iterations":[50],"achieved":[52],"by":[53],"improving":[54,162],"inertia":[56],"weights":[57],"learning":[59],"factors":[60],"in":[61,231],"particle":[63,121,144],"swarm":[64,122],"(PSO)":[66],"so":[68],"that":[69,100,204],"PSO":[71,101],"has":[72,214],"large":[74],"search":[75],"range":[76],"high":[78],"speed":[79],"at":[80,91],"initial":[82],"stage":[83],"strong":[86],"stable":[88],"capability":[90],"later":[93],"stage.":[94],"Secondly,":[95],"problem":[99],"prone":[103],"fall":[105],"into":[106,115],"local":[108],"optimum,":[109],"genetic":[111,132],"operator":[112],"embedded":[114],"operation":[117],"process":[118],"algorithm,":[123,156],"excellent":[126],"global":[127],"performance":[129],"used":[135],"open":[137],"up":[138],"spatial":[140],"vision":[141],"population,":[145],"revive":[146],"stagnant":[148],"particles,":[149],"accelerate":[150],"update":[152],"amplitude":[153],"achieve":[158],"purpose":[160],"premature":[164],"problem.":[165],"Finally,":[166],"improved":[168],"combined":[171],"optimize":[178],"applied":[184],"assessment.":[190],"The":[191],"experimental":[192],"comparison":[193],"different":[195],"algorithms":[197],"applied,":[199],"results":[202],"show":[203],"method":[210],"this":[212],"smallest":[216],"error,":[217],"highest":[219],"accuracy,":[220],"fastest":[223],"convergence,":[224],"can":[226],"effectively":[227],"predict":[228],"future":[229],"changes":[230],"posture.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}