Growing Grid

5.4.8

No new Nodes

No new nodes will be inserted.

lambda_g

This parameter ($\lambda_g$) indicates how many adaptation steps on average are done per node before new nodes are inserted (growth phase).

lambda_f

This parameter ($\lambda_f$) indicates how many adaptation steps on average are done per node before new nodes are inserted (fine-tuning phase).

epsilon_i

epsilon initial ($\epsilon_i$).

epsilon_f

epsilon final ($\epsilon_f$).

sigma

This parameter ($\sigma$) determines the width of the bell-shaped neighborhood interaction function.

In the fine-tuning phase the time-dependend learning rate $\epsilon(t)$is determined according to

$$\qquad\epsilon(t) = \epsilon_i(\epsilon_f/\epsilon_i)^{t/t_{\rm max}}.$$