The spectrum data sample characteristic choice,the data pretreatment,and the SVM Calibration model parameter optimization and mixture gas spectral analysis structure based on level were summarized and prop.

The influence of calibration constant K,spectrum region selection and spectrum prepro- cessing on the veracity of a calibration model when establishing a model for rapidly determining aroma composition in naphtha by near-infrared spectroscopy are analyzed.

By using type ZX440 near infrared petroleum analyzer,the calibration model of total sulfur content of jet fuels was established.

The useful near-infrared spectrum information was picked up by using genetic algorithms,and the near-infrared quantitative correction model was established by partial least squares(PLS) method.

This paper relates to a correction model based on the computation according to position and height of each building as well as imaging parameters of sensors,which has been applied to an area in Shanghai for rectifying the green cover rate and green belt areas in a remote sensing research.

In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation,a correction model of pressure sensor is presented based on Support Vector Machine.

Calibration equations were developed by partial least square regression (PLS) of chemical values of near infrared reflectance spectroscopy(NIRS) data and tested through both cross and external validation.

Study on Radio Propagation Model Tuning and Its Application in 3G System;