The application of fuzzy neural network in the iatrical monitor

Due to the nonlinear time-varying and time lagging property of the transfusion system, conventional control methods cannot achieve good performance in the real time monitoring. This paper proposes a method based on fuzzy neural network, which integrates the advantages of fuzzy logical control and neural network. It utilizes neural network to train fuzzy rules for fuzzy control. Error back propagation is adopted to realize the online self-learning when the control parameters are changed, which can quickly analyze the data and achieve intelligent control.