Automatic multiple chemical components distinguishment

N. Ni; C. C. Chan; P. Shum

doi:10.1117/12.833522

5 October 2009 Automatic multiple chemical components distinguishment

N. Ni, C. C. Chan, P. Shum

Proceedings Volume 7503, 20th International Conference on Optical Fibre Sensors; 75031E (2009) https://doi.org/10.1117/12.833522
Event: 20th International Conference on Optical Fibre Sensors, 2009, Edinburgh, United Kingdom

Abstract

A support vector regression (SVR) system is proposed for recognizing chemical compounds characterized by near infrared molecular absorption spectrometry. The results demonstrate SVR system has a high reliability in the trace gas detection field.

Citation Download Citation

N. Ni, C. C. Chan, and P. Shum "Automatic multiple chemical components distinguishment", Proc. SPIE 7503, 20th International Conference on Optical Fibre Sensors, 75031E (5 October 2009); https://doi.org/10.1117/12.833522

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