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The fluorescence spectrum of pesticides whose structures are very similar overlap in a certain wavelength range. To the classification and recognition of overlapping fluorescence spectrum, BP network has the shortcomings of slow training speed and high error rate. An improved wavelet neural network (WNN) is presented in this paper. The network topology is given, wavelet basis is selected and its network...
A rapid, self-adaptive neural network modeling of fluorescence spectra for automatic diagnosis is built up in this paper. Against that the identification of fluorescence spectra can not be better solved by the neural network model featuring flat structure, a neural network integrated model with multiple-structure is proposed in this paper which The font-end of the model is the data preprocessing....
At present, it is a difficulty to achieve rapid and accurate detection to pesticide residues. In the paper, an overlapped spectrum in fluorescence spectroscopy measurements of acetamiprid residues was separated using artificial neural networks. By means of artificial neural network principle and back-propagation training algorithm, acetamiprid concentration were determined in mixed component of residues...
In this paper, quantitative prediction of synthetic food colors by fluorescence spectroscopy and radial basis function neural networks is introduced. Taking Amaranth as an example, for sample solution of Amaranth with different concentrations, the fluorescence spectroscopy excited by the light with the wavelength of 400 nm is measured. The peak wavelength of Amaranth solution fluorescence spectroscopy...
The singular value eigenvectors of the different kinds of the mineral oil stylebooks are obtained by parameterizing the three-dimensional fluorescence spectroscopy. They are complicated and not easy to be recognized by the simple formula. The multiwavelet neural network is introduced to realize the identification of the different kinds of the mineral oil. It was layered. It had the feature of the...
The singular value eigenvectors are often used to recognise the different kinds of mineral oil. The eigenvectors are obtained by the Excitation-Emission Matrix (EEM) factorization from the three-dimensional fluorescence spectroscopy. They are complicated and not easy to be recognised by the simple formula. A new type neural network-wavelet neural network (WNN) was introduced. The singular value eigenvectors...
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