{"title":"通过平行插值单元网络绘制海洋沉积物图","authors":"A. Caiti, T. Parisini","doi":"10.1109/ICNN.1991.163355","DOIUrl":null,"url":null,"abstract":"A method for interpolating sparse measurements of ocean sediment properties by means of a network of parallel computational units is proposed. The network is able to generate a continuous mapping. of sediment properties as a function of x-y-z position, where z is the depth in the sediment, using a generalized radial basis function expansion. Advantages and disadvantages of the method are discussed, both from a physical and a computational viewpoint. An example with sediment density data obtained from sparse core measurements in a region of the Mediterranean sea is presented.<<ETX>>","PeriodicalId":296300,"journal":{"name":"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mapping of ocean sediments, by networks of parallel interpolating units\",\"authors\":\"A. Caiti, T. Parisini\",\"doi\":\"10.1109/ICNN.1991.163355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for interpolating sparse measurements of ocean sediment properties by means of a network of parallel computational units is proposed. The network is able to generate a continuous mapping. of sediment properties as a function of x-y-z position, where z is the depth in the sediment, using a generalized radial basis function expansion. Advantages and disadvantages of the method are discussed, both from a physical and a computational viewpoint. An example with sediment density data obtained from sparse core measurements in a region of the Mediterranean sea is presented.<<ETX>>\",\"PeriodicalId\":296300,\"journal\":{\"name\":\"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNN.1991.163355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1991.163355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping of ocean sediments, by networks of parallel interpolating units
A method for interpolating sparse measurements of ocean sediment properties by means of a network of parallel computational units is proposed. The network is able to generate a continuous mapping. of sediment properties as a function of x-y-z position, where z is the depth in the sediment, using a generalized radial basis function expansion. Advantages and disadvantages of the method are discussed, both from a physical and a computational viewpoint. An example with sediment density data obtained from sparse core measurements in a region of the Mediterranean sea is presented.<>
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