DocumentCode
2364013
Title
A study of the application of the CMAC artificial neural network to the problem of gas sensor array calibration
Author
Bajaria, Parag M. ; Segee, Bruce E.
Author_Institution
Maine Univ., Orono, ME, USA
fYear
1995
fDate
31 Aug-2 Sep 1995
Firstpage
494
Lastpage
503
Abstract
This paper explores the application of the Cerebeller Model Arithmetic Computer (CMAC) artificial neural network to the analysis of multicomponent gas mixtures using an array of eight nonselective, nonlinear and noisy Taguchi gas sensors. Various network parameters that affect the performance of the CMAC are discussed. Results of the analysis of three gas component mixtures are presented
Keywords
calibration; cerebellar model arithmetic computers; gas mixtures; gas sensors; neural nets; CMAC artificial neural network; Taguchi gas sensors; gas sensor array calibration; multicomponent gas mixtures; Artificial neural networks; Chemical analysis; Chemical sensors; Computer networks; Digital arithmetic; Gas detectors; Mathematical model; Multidimensional systems; Sensor arrays; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-2739-X
Type
conf
DOI
10.1109/NNSP.1995.514924
Filename
514924
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