Co-training neural network-based infrared sensor array for natural gas monitoring

•A low-cost and high-performance calibration method for infrared gas sensor arrays.•Performance optimization via low-cost unlabeled data.•Two MLPNNs with different data views and structures facilitate co-learning.•The method has high reliability while reducing calibration costs.•Similar schemes can be used for the quantification of other gas mixtures.