Adaptive network-based fuzzy inference system for the forecast of spectra

作者：Zhang Chi jian^*; Wang Li

来源：Spectroscopy and Spectral Analysis, 2007, 27(10): 2061-2063.

• adaptive neural network
• fuzzy system
• N-2 fluorescence spectrum
• forecast

Because of the function of independent adaptation and study of NN and the best nonlinear speculating ability of fuzzy system, the adaptive network-based fuzzy inference system (ANFIS) which is composed of them absorbs their virtue. When applying it to the data analysis and model construction, the authors got the good nonlinear forecast by learning data, such as fluorescence spectrum. Fluorescence spectrometry is an important means of researching inside structure of molecule, which works easy, and features rapidness and high precision. So its forecast is more important. In the present paper, the authors utilize the spectra of the N-2 to calculate, and prove that the means can forecast important spectrum information, the error is very small, less than 1.66 percent, which is conformed to meet the demand of the experiment. In short, the approach is workable.

• 出版日期2007-10
• 单位安徽师范大学