Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
A new method of continuous wavelength UV-spectrophotometry is brought forward to multicomponent analysis, which is combined by chemical information and UV-spectrophotometry.
本文将化学信息学与紫外一可见分光光度法相结合提出了一种新的对多组分混合物进行分析的连续波长紫外分光光度法。
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