• TITLE: GAS RECOGNITION BASED ON ARTIFICIAL NEURON NETWORKS
• AUTHOR(S): Z. Nenova, G. Dimchev
• ABSTRACT: Measuring air parameters is a task of paramount importance associated with protection of environment and human health as well as with providing safe and healthy working conditions. Monitoring of outdoor and indoor air quality often requires gas recognition and measuring gas concentration. This paper proposes a method of gas recognition with compensation of temperature and humidity impact and determining gas concentration based on artificial neuron networks. The method has been implemented by employing metal oxide gas sensors. The effectiveness of its application has been shown for enhancing the reliability of control and accuracy of measurement by compensating the impact of temperature and humidity of environment.
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