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Several modeling methods based on infrared absorption principle are illustrated and their existing problems are indicated. A new type of infrared carbon monoxide modeling method is presented, the mathematical model was set up by adopting radial basic function's (RBF) neural network model, a momentum factor's gradient descending method could be applied to adjust the parameters of RBF neural network. The experimental results show that it can dispel all kinds of influence such as temperature, pressure, humidity, and has a high precision, a strong capacity of anti-jamming, meet the requirements of mine
Published in:
Machine Learning and Cybernetics, 2006 International Conference on
Date of Conference: 13-16 Aug. 2006
- Page(s):
- 650 - 654
- Print ISBN:
- 1-4244-0061-9
- INSPEC Accession Number:
- 9143854
- Conference Location :
- Dalian, China
- Digital Object Identifier :
- 10.1109/ICMLC.2006.258393
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