{"title":"基于粒子群优化改进BP神经网络的知识转移效果预测","authors":"Lin Wang","doi":"10.25236/ijndes.2021.050303","DOIUrl":null,"url":null,"abstract":"BP neural network is optimized by improved particle swarm optimization (PSO), the prediction model of knowledge transfer effect is established, and the prediction effect is compared with that of BP neural network model. The research results show that the prediction effect of knowledge transfer effect prediction model based on particle swarm optimization (PSO) optimized BP neural network is due to BP neural network.","PeriodicalId":188294,"journal":{"name":"International Journal of New Developments in Engineering and Society","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prediction of Knowledge Transfer Effect Based on Particle Swarm Optimization Improved BP Neural Network\",\"authors\":\"Lin Wang\",\"doi\":\"10.25236/ijndes.2021.050303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BP neural network is optimized by improved particle swarm optimization (PSO), the prediction model of knowledge transfer effect is established, and the prediction effect is compared with that of BP neural network model. The research results show that the prediction effect of knowledge transfer effect prediction model based on particle swarm optimization (PSO) optimized BP neural network is due to BP neural network.\",\"PeriodicalId\":188294,\"journal\":{\"name\":\"International Journal of New Developments in Engineering and Society\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of New Developments in Engineering and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25236/ijndes.2021.050303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of New Developments in Engineering and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/ijndes.2021.050303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Knowledge Transfer Effect Based on Particle Swarm Optimization Improved BP Neural Network
BP neural network is optimized by improved particle swarm optimization (PSO), the prediction model of knowledge transfer effect is established, and the prediction effect is compared with that of BP neural network model. The research results show that the prediction effect of knowledge transfer effect prediction model based on particle swarm optimization (PSO) optimized BP neural network is due to BP neural network.