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 data sensed by SH-SAW sensors were implemented by using different NN models. A reliable and superior neural network SAW identifier is expected to be found for effectively overcoming the interference of humidity in ammonia detection.