{"title":"基于卷积神经网络的地震预测","authors":"G. Singh","doi":"10.25303/1606da45052","DOIUrl":null,"url":null,"abstract":"Due to natural processes of the earth, some major adverse events can occur like earthquakes, tsunamis, storms, fire storms, dust storms, floods, tornadoes, volcanic eruptions hurricanes etc. which can result into financial, environmental or human losses. An earthquake in a populated area may result into not only extensive damage to property but also to huge casualties and injuries. Thus prediction of earthquake is very necessary to avoid these losses. Convolution Neural Network (CNN) applied to earthquake prediction has been reviewed here.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Earthquake Prediction using Convolutional Neural Network\",\"authors\":\"G. Singh\",\"doi\":\"10.25303/1606da45052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to natural processes of the earth, some major adverse events can occur like earthquakes, tsunamis, storms, fire storms, dust storms, floods, tornadoes, volcanic eruptions hurricanes etc. which can result into financial, environmental or human losses. An earthquake in a populated area may result into not only extensive damage to property but also to huge casualties and injuries. Thus prediction of earthquake is very necessary to avoid these losses. Convolution Neural Network (CNN) applied to earthquake prediction has been reviewed here.\",\"PeriodicalId\":50576,\"journal\":{\"name\":\"Disaster Advances\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disaster Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25303/1606da45052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disaster Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25303/1606da45052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Earthquake Prediction using Convolutional Neural Network
Due to natural processes of the earth, some major adverse events can occur like earthquakes, tsunamis, storms, fire storms, dust storms, floods, tornadoes, volcanic eruptions hurricanes etc. which can result into financial, environmental or human losses. An earthquake in a populated area may result into not only extensive damage to property but also to huge casualties and injuries. Thus prediction of earthquake is very necessary to avoid these losses. Convolution Neural Network (CNN) applied to earthquake prediction has been reviewed here.