13 October 2000 Neural-network-enhanced small low-cost low-power sensor for atmospheric gases
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Abstract
In this paper, Intelligent Optical Systems, Inc. reports on our progress in using neural network signal processing algorithms for the enhancement of sensor signals from a multigas optical sensor under development for NASA. We found that a 4x8x3 neural network yielded superior results over the last squares (LS), partial least squares (PLS), and principal components regression (PCR) algorithms in estimating oxygen, water vapor, and temperature.
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Shannon R. Campbell, Shannon R. Campbell, Edgar A. Mendoza, Edgar A. Mendoza, Emile Fiesler, Emile Fiesler, } "Neural-network-enhanced small low-cost low-power sensor for atmospheric gases", Proc. SPIE 4120, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III, (13 October 2000); doi: 10.1117/12.403625; https://doi.org/10.1117/12.403625
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