Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares ...

Contribute to toanhvu/matlab-rnn development by creating an account on GitHub. Skip to content. Navigation Menu ... View all files. ... Matlab implementation of some recurrent neural networks (RNNs) ...

A special kind of recurrent neural networks (RNN), i.e., Zhang neural networks (ZNN), has recently been proposed for online time-varying problems solving. In this paper, we generalize and investigate ...

This paper presents a Hybrid Particle Filter based RNN method for state estimation of non-linear dynamical system with knowledge of its input and output measurements. Particle filters are sequential ...

Network models based on recurrent neural networks (RNNs) of continuous-variable rate units have been extensively studied to characterize network dynamics underlying neural computations (4–9). Methods ...