Mixed gas concentration measurement using neural networks

This paper dealt with the use of neural networks to infer gas concentrations using electrochemical cells in a multi-sensor configuration. It was shown that, due the electrochemical cells cross sensitivity to multiple gases, that a neural network could be trained to accurately model the response of multiple sensors to a mixture of gases. A method of using neural networks for detection of unknown gases and for sensor failure detection was also shown.