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- W2378697987 abstract "Tomographic Gamma scanning(TGS) technique is an important technique in nondestructive assay(NDA). The image reconstruction problem of linear attenuation coefficients is very difficult and central in transmission TGS. A new image reconstruction algorithm of linear attenuation coefficients with neural networks is proposed based upon paper [1]. Simulated results indicate that the reconstruction relative errors of linear attenuation coefficients are less than 4% for the reconstruction algorithm of radial basis function(RBF) neural networks and the new algorithm has the merits such as fast response and high accuracy within a certain scope. " @default.
- W2378697987 created "2016-06-24" @default.
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- W2378697987 date "2003-01-01" @default.
- W2378697987 modified "2023-09-25" @default.
- W2378697987 title "Reconstruction Algorithm of Radial Function Neural Networks for Linear Attenuation Coefficients" @default.
- W2378697987 hasPublicationYear "2003" @default.
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