Abstract

In recent years two machine learning approaches, Extreme Learning Machines (ELM) [1] and Reservoir Computing, in particular Echo State Networks (ESN) [2], have attracted great interest for information processing because of their simplifying training process. Both approaches are based on random nonlinear projections of data into a high-dimensional network using an intermediate single layer of neurons. In ELM the neurons are not inter-connected, while in ESN connectivity provides the fading memory suitable for time-dependent data.

© 2015 IEEE