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Proceedings Paper

Neural-network-enhanced small low-cost low-power sensor for atmospheric gases
Author(s): Shannon R. Campbell; Edgar A. Mendoza; Emile Fiesler
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Paper 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.

Paper Details

Date Published: 13 October 2000
PDF: 8 pages
Proc. SPIE 4120, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III, (13 October 2000); doi: 10.1117/12.403625
Show Author Affiliations
Shannon R. Campbell, Intelligent Optical Systems, Inc. (United States)
Edgar A. Mendoza, Intelligent Optical Systems, Inc. (United States)
Emile Fiesler, Intelligent Optical Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 4120:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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