The estimations of ammonia concentration by using neural network SH-SAW sensors

► This paper presents the estimations of ammonia concentration by using neural network (NN) models. ► The shear horizontal surface acoustic wave (SH-SAW) devices coated with L-glutamic acid hydrochloride and polyaniline (PANI) film, respectively, were applied as the ammonia sensors. ► The signal sensed by SH-SAW sensors were implemented by using different NN models for the estimation of ammonia concentration. ► A reliable and superior neural network SAW identifier is expected to be found for effectively overcoming the interference of humidity in ammonia detection.