{"title":"神经网络在海洋声层析成像中的应用","authors":"W. Gan","doi":"10.1109/ICNN.1991.163333","DOIUrl":null,"url":null,"abstract":"Ocean acoustic tomography differs from medical ultrasound tomography and seismic tomography in that one must first understand the forward problem, that is, how the sound channel and the mesoscale feature refracts sound in three dimensions and how such refraction alters the pulse-arrival sequence. The parabolic equation (PE) model is used in the forward problem. A neural network is used to perform the inversion of tomography data. The author uses the feedforward neural network to implement the filtered back projection algorithm. The advantages are that one does not need to assume weak scattering and the instability problem of the frequency domain interpolation algorithm does not exist.<<ETX>>","PeriodicalId":296300,"journal":{"name":"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applications of neural networks to ocean acoustic tomography\",\"authors\":\"W. Gan\",\"doi\":\"10.1109/ICNN.1991.163333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ocean acoustic tomography differs from medical ultrasound tomography and seismic tomography in that one must first understand the forward problem, that is, how the sound channel and the mesoscale feature refracts sound in three dimensions and how such refraction alters the pulse-arrival sequence. The parabolic equation (PE) model is used in the forward problem. A neural network is used to perform the inversion of tomography data. The author uses the feedforward neural network to implement the filtered back projection algorithm. The advantages are that one does not need to assume weak scattering and the instability problem of the frequency domain interpolation algorithm does not exist.<<ETX>>\",\"PeriodicalId\":296300,\"journal\":{\"name\":\"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.1991.163333\",\"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.1991.163333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applications of neural networks to ocean acoustic tomography
Ocean acoustic tomography differs from medical ultrasound tomography and seismic tomography in that one must first understand the forward problem, that is, how the sound channel and the mesoscale feature refracts sound in three dimensions and how such refraction alters the pulse-arrival sequence. The parabolic equation (PE) model is used in the forward problem. A neural network is used to perform the inversion of tomography data. The author uses the feedforward neural network to implement the filtered back projection algorithm. The advantages are that one does not need to assume weak scattering and the instability problem of the frequency domain interpolation algorithm does not exist.<>
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