Learning algorithm for linguistic information feedback-based dynamical fuzzy system (LIFDFS)

In this paper, the linguistic information feedback-based dynamical fuzzy system (LIFDFS) proposed earlier by the authors is first introduced. The principles of a level sets and backpropagation through time (BTT) are also briefly discussed. We employ these two methods to derive an explicit learning algorithm for the feedback parameters of the LIFDFS. With this training algorithm, our LIFDFS becomes a potential candidate in solving real-time modeling and prediction problems.