Research of Detection Model of Mine-used Infrared Gas Sensor Based on Neural Network
ZHANG Li
WANG Ru-Lin
WANG Ying
HE Yu-Kai
Abstract：The paper briefly introduced the principle of gas infrared detection and pointed out existing problems of traditional absorption model. It established a detection model of infrared gas sensor based on nonlinear approximation capability of RBF neural network, gave the structure of the RBF neural network, and trained the RBF neural network, then obtained RBF neural network structure of the detection model of infrared gas sensor. The experiment results showed that the model has small error and high accurate, which can meet the requirements of mine application.
Keywords：coal mineinfrared gas sensornonlinearRBF neural network
Publication Date：2009-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 18-21 )