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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...
We report on the design and implementation of a fluorescence measurement and analysis device that can identify fluorophore substances. The device performs multi-spectral fluorescence measurements, obtained by exciting the unknown substance with light emitting diodes (LED) whose intensity is CDMA coded for noise rejection. The acquired fluorescence data are processed by a CDMA receiver and a neural...
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...
Several artificial intelligent methods, including support vector regression (SVR), artificial neural networks (ANNs), and partial least square (PLS) are used for the multivariate calibration in the determination of the three aromatic amino acids (phenylalanine, tyrosine and tryptophan) in their mixtures by fluorescence spectroscopy. The results of the leave-one-out method show that SVR perform better...
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