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。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
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