Figure 7
From: Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere
Results for the hyperbolic tangent activation function. The network performs as expected: the error grows with the memory required to solve the task. The choice of the spectral radius displays a pattern, where larger SRs are preferred when more memory is required. The scaling factor tends to be small for almost every configuration.
