Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

… (SLM) and a telescope system is utilized to emit speckle … system is a time-resolution
single-pixel detector and we use a collecting lens to collect echo light. After a correlation calculation …

… passing on information about family legacies and historic events through storytelling. This
activity facilitates identity formation and builds strong relationship between seniors and their …

… The weight estimates ˆWi are updated by using the following … According to [39], a C0-close
measure is too strong and may … -time nonlinear dynamical systems using neural networks. In: …

… , like robustness and ability to learn, neural network is hard to … kind of systems as
parameter-varying dynamical systems. In … The problem of predictability is how to find a good …

… Local and global Hopf bifurcation in a two-neuron network with … Robust flutter control of
an airfoil section through an … Stability analysis of nonlinear dynamic systems with slowly and …

… possesses strong properties of chaotic dynamics. In this … time series fuzzy neural network
model is set up for predicting … precision of prediction, fast calculation rates for convergence and …

… In this article, a novel neural network nonlinear predictive … The Tent-map is studied in the
mathematics of dynamical systems … the output of the neural network and ˆ f is the estimation of f. …

… [6], chaos generation[7], fault location[8] and flow estimation[9]. … Finally, we prove the strong
convergence (d). Let us … Diagonal recurrent neural networks for dynamic systems control[J]…

… The adaptation law of neural networks weights and the design method of robust controller are
… Neural network adaptive control for a class of nonlinear uncertain dynamical systems with …