Neural Gas

5.4.3

lambda_i

lambda initial ($\lambda_i$).

lambda_f

lambda final ($\lambda_f$).

epsilon_i

epsilon initial ($\epsilon_i$).

epsilon_f

epsilon final ($\epsilon_f$).

t_max

The simulation ends, if the number of input signals exceeds this value (t_max).

The reference vectors are adjusted according to

$$\Delta \mbox{\bf w}_i = \epsilon(t) \cdot h_\lambda(k_i(\mbo... ...$\xi$},{\cal A})) \cdot (\mbox{\boldmath$\xi$}- \mbox{\bf w}_i)$$

with the following time-dependencies:

$$\lambda(t) = \lambda_i (\lambda_f/\lambda_i)^{t/t_{\rm max}}$$

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

$$h_\lambda(k) = \exp(-k/\lambda(t)).$$