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- W3096436636 abstract "In view of the highly nonlinear and complex non-stationary characteristics of blood glucose sequence, a blood glucose concentration prediction algorithm based on nonlinear auto-regressive model is proposed. First, the nonlinear auto-regressive model is used to describe the existing blood glucose sequence, and the polynomial expansion function is used to approximate the description model; then, the relaxation iterative search algorithm is used to estimate the nonlinear least square parameters of the polynomial approximation model in the hierarchical calculation mode. The experimental results show that the proposed algorithm has excellent computational efficiency while ensuring more accurate prediction accuracy." @default.
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- W3096436636 date "2020-11-04" @default.
- W3096436636 modified "2023-10-16" @default.
- W3096436636 title "A Prediction Method of Blood Glucose Concentration Based on Nonlinear Auto-Regressive Model" @default.
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- W3096436636 doi "https://doi.org/10.1007/978-3-030-62743-0_19" @default.
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