The radial basis function network (RBFN) has good extensible and classified (ability).
径向基函数网络具有良好的推广能力和分类能力。
The radial basis function network is proposed to use in the determination of pulp kappa number with near-infrared spectroscopy in order to increase precision of kappa number determination.
为了提高制浆过程中的在线预测纸浆卡伯值的精度，提出采用径向基函数网络来建立纸浆卡伯值近红外光谱法在线测量模型。
The radial basis function network is proposed to use in the determination of pulp kappa number with near-infrared spectroscopy in order to increase precision of kappa number determination.
为了提高制浆过程中的在线预测纸浆卡伯值的精度，提出采用径向基函数网络来建立纸浆卡伯值近红外光谱法在线测量模型。
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