pso优化的CoVID-19 MLP-NARX死亡率预测模型

2021 IEEE Industrial Electronics and Applications Conference (IEACon) Pub Date : 2021-11-22 DOI:10.1109/IEACon51066.2021.9654684

I. Yassin, A. Zabidi, M. Ali, R. Baharom

{"title":"pso优化的CoVID-19 MLP-NARX死亡率预测模型","authors":"I. Yassin, A. Zabidi, M. Ali, R. Baharom","doi":"10.1109/IEACon51066.2021.9654684","DOIUrl":null,"url":null,"abstract":"Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of $8.1141\\times 10\\times ^{-7}$ with acceptable validation results.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PSO-Optimized CoVID-19 MLP-NARX Mortality Prediction Model\",\"authors\":\"I. Yassin, A. Zabidi, M. Ali, R. Baharom\",\"doi\":\"10.1109/IEACon51066.2021.9654684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of $8.1141\\\\times 10\\\\times ^{-7}$ with acceptable validation results.\",\"PeriodicalId\":397039,\"journal\":{\"name\":\"2021 IEEE Industrial Electronics and Applications Conference (IEACon)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Industrial Electronics and Applications Conference (IEACon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEACon51066.2021.9654684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEACon51066.2021.9654684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

马来西亚本地化的死亡率预测模型有限，存在研究空白，有待进一步研究。本文提出了一种新型冠状病毒病死率预测模型。模型采用MLP-NARX结构。采用粒子群算法对模型参数进行优化。预测结果产生的平均MSE值为8.1141\ × 10\ × ^{-7}$，验证结果可接受。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

PSO-Optimized CoVID-19 MLP-NARX Mortality Prediction Model

Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of $8.1141\times 10\times ^{-7}$ with acceptable validation results.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 IEEE Industrial Electronics and Applications Conference (IEACon)

自引率

0.00%

发文量