Kernel learning modeling for solving multi-component concentrations with linear space of transmission spectra
A modeling method is proposed in this paper for simultaneous spectrophotometric determination of multi-component system concentrations.A linear space of transmission spectra of the multi-component system was established,which proved that the potential function matrix VM of the multi-component system can be transformed into a diagonal matrix,in which the diagonal elements are blocked matrix Ji of the single-component potential functions.The multi-component system transmission spectral space is a linear combination of the transmission spectral functions of each single-component molecule as the basis function and the proportion of molecular numbers as the coordinate.The weight coeffi-cients of the transmission waves of each single-component system were determined using the multi-kernel learning method,and a measurement method for measuring multi-component concentration using a single-component concentration quan-tum tunneling soft measurement model was proposed.Example validation shows that this method is stable and reliable and can reduce computational complexity.
multi-component systemconcentrationquantum Tunnelinglinear systems
国家科技期刊平台
NSTL
万方数据
