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《Transducer and Microsystem Technologies》 2008-01
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Study on application of RBF neural network in pressure compensation of IR carbon dioxide sensor

QIAN Li,FU Lan,HUANG Gang(China Astronaut Research and Training Center,Beijing 100094,China)  
Environment pressure is an important effective factor in measuring process of IR carbon dioxide sensor.Doing pressure compensation well to get the accurate carbon dioxide gas pressure data when environment pressure changes,which makes great sense for the improvement of measurement accuracy of the sensor.Here a method of radial basis function(RBF)neural network based on clustering and gradient is presented.By using its part approaching ability,the net model is established in the non-linearity pressure compensation.The experiment results show that the application gets well effect.
【CateGory Index】: TP212
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