Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

We present a method for learning nonlinear systems, echo state networks (ESNs). ESNs employ artificial recurrent neural networks in a way that has recently been proposed independently as a learning mechanism in biological brains. The learning method is computationally efficient and easy to use. On a... View More