Continuous Prediction in Chemoresistive Gas Sensors Using Reservoir Computing
Year: 2014
Type: conference-paper
Abstract: Chemoresistive gas sensors, and Metal Oxide (MOX) sensors in particular, are predominant choices to perform funda- mental tasks of chemical detection due to their sensitivity, ease of use, low-cost, and fast response time compared to other technologies. Yet, their use has been mainly limited to relatively controlled scenarios where a gas sensor array is first exposed to a reference, then to the gas sample, and finally to the reference again to recover the initial state. In this paper we propose the use of MOX sensors along with Reservoir Computing algorithms to identify chemicals of interest. Our approach allows continuous gas monitoring in simple experimental setups without the requirement of acquiring recovery transient of the sensors, thereby making the system specifically suitable for online monitoring applications.
Source: Procedia Engineering
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Office of Naval Research
OpenAlex ID: W2088212757