{"title":"使用核平滑方法和人工神经网络模型的组合恢复地磁场的值","authors":"O. Gvozdev, A. Materuhin, A. A. Maiorov","doi":"10.22389/0016-7126-2022-990-12-57-64","DOIUrl":null,"url":null,"abstract":"\nThe purpose of the study, the results of which are described in the article, was to improve solving the matter of the geo-fields’ values restoring based on processing high-intensity spatial-temporal data streams received from a highly mobile geo-sensors network. Previously, the authors proposed an original approach to solving this task, which means applying the kernel smoothing methods, the nuclear function for which is determined automatically, using discrete stochastic optimization, in particular, the annealing simulation method. The idea of a new approach proposed by the authors is as follows\n","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Restoring the values of geo-fields using a combination of kernel smoothing methods and artificial neural networks models\",\"authors\":\"O. Gvozdev, A. Materuhin, A. A. Maiorov\",\"doi\":\"10.22389/0016-7126-2022-990-12-57-64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nThe purpose of the study, the results of which are described in the article, was to improve solving the matter of the geo-fields’ values restoring based on processing high-intensity spatial-temporal data streams received from a highly mobile geo-sensors network. Previously, the authors proposed an original approach to solving this task, which means applying the kernel smoothing methods, the nuclear function for which is determined automatically, using discrete stochastic optimization, in particular, the annealing simulation method. The idea of a new approach proposed by the authors is as follows\\n\",\"PeriodicalId\":35691,\"journal\":{\"name\":\"Geodeziya i Kartografiya\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geodeziya i Kartografiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22389/0016-7126-2022-990-12-57-64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodeziya i Kartografiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22389/0016-7126-2022-990-12-57-64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Restoring the values of geo-fields using a combination of kernel smoothing methods and artificial neural networks models
The purpose of the study, the results of which are described in the article, was to improve solving the matter of the geo-fields’ values restoring based on processing high-intensity spatial-temporal data streams received from a highly mobile geo-sensors network. Previously, the authors proposed an original approach to solving this task, which means applying the kernel smoothing methods, the nuclear function for which is determined automatically, using discrete stochastic optimization, in particular, the annealing simulation method. The idea of a new approach proposed by the authors is as follows