{"title":"死亡率预测:神经网络方法","authors":"Vasily Gorlishchev, Anatoly Michalsky","doi":"10.1109/MLSD49919.2020.9247775","DOIUrl":null,"url":null,"abstract":"Application of an artificial neural network (NN) for predicting human mortality and life expectancy has been studied. Obtained NN reflects current demographic theories, according to which mortality trends in countries with high life expectancy converge to a common trend, and the difference in the life expectancy of men and women is decreasing.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mortality forecasting: Neural network approach\",\"authors\":\"Vasily Gorlishchev, Anatoly Michalsky\",\"doi\":\"10.1109/MLSD49919.2020.9247775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application of an artificial neural network (NN) for predicting human mortality and life expectancy has been studied. Obtained NN reflects current demographic theories, according to which mortality trends in countries with high life expectancy converge to a common trend, and the difference in the life expectancy of men and women is decreasing.\",\"PeriodicalId\":103344,\"journal\":{\"name\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSD49919.2020.9247775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD49919.2020.9247775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of an artificial neural network (NN) for predicting human mortality and life expectancy has been studied. Obtained NN reflects current demographic theories, according to which mortality trends in countries with high life expectancy converge to a common trend, and the difference in the life expectancy of men and women is decreasing.