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- W2372289126 abstract "In the vestibular function test, first, we should fit a curve for signals of tracking data ,and the we can analyse signals of smooth pursuit test . As the BP neural network can achieve any non-linear between the input and output, making it has a wide range of applications on the function approximation. Therefore, this paper use BP neural network to fit the signal. And we use Bayesian regularization algorithm as our training method on the network. Experiments show that the fitted curve is similar to the sine curve, and the curve through the sample points as much as possible, and also excluded the interference of a small number of points. So, it works well." @default.
- W2372289126 created "2016-06-24" @default.
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- W2372289126 date "2010-01-01" @default.
- W2372289126 modified "2023-09-22" @default.
- W2372289126 title "BP Neural Network Model Based on Video-oculography Signal" @default.
- W2372289126 hasPublicationYear "2010" @default.
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