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    共识径向基神经网络应用于近红外光谱法测定三七中总黄酮

    NIRS Determination of Total Flavonoids in Panax Notoginseng with Consensus Radial Basis Function Neural Network

    • 摘要: 将共识策略结合径向基神经网络用于近红外光谱法测定三七中总黄酮的含量中。首先采用离散小波变换对近红外光谱进行预处理,去除噪声并压缩数据。继而采用共识径向基神经网络建立校正模型。结果表明:共识策略可以使模型更稳定、更准确。

       

      Abstract: Consensus strategy was applied to radial basis function neural network and used in NIRS determination of total flavonoids in panax notoginseng. Firstly, the spectra were preprocessed using discrete wavelet transform for noise filtering and data compression. Then, consensus radial basis function neural network was used for establishing the calibration model. It was shown by the results that the consensus models were more stable and accurate than the conventional regression models.

       

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