The application of fuzzy-neural network algorithm on the estimation of inflammable gas concentration

This paper describes the application of a fuzzy-neural network on the concentration-estimation of inflammable gases. Not only the membership functions for premises and consequences of fuzzy if-then rules are created and adjusted automatically but also the concentrations of the inflammable gases introduced are calculated automatically with the fuzzy-neural network. The proposed method is examined in estimating the concentrations of three kinds of inflammable gases, that is, hydrogen, butane and methane, and it is proved that the results are more accurate than those obtained with fuzzy inference