Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array

@inproceedings{Shahid2018LeastSN,
  title={Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array},
  author={Areej Shahid and Jong-Hyeok Choi and Abu ul Hassan Sarwar Rana and Hyun-Seok Kim},
  booktitle={Sensors},
  year={2018}
}
Over the last few decades, the development of the electronic nose (E-nose) for detection and quantification of dangerous and odorless gases, such as methane (CH₄) and carbon monoxide (CO), using an array of SnO₂ gas sensors has attracted considerable attention. This paper addresses sensor cross sensitivity by developing a classifier and estimator using an artificial neural network (ANN) and least squares regression (LSR), respectively. Initially, the ANN was implemented using a feedforward… CONTINUE READING