Image (IMAGE)
Caption
(a) The general principle of Anticipated Learning Machine (ALM). The observed attractor, a delay attractor and sampled nondelay attractors are all topologically conjugate with each other. Each sampled nondelay attractor preserves the dynamical information of the system in different ways. By integrating the information contained in these sampled nondelay attractors, we could find an accurate one-to-one map even under noise deterioration. (b) Anticipated Learning Machine. For each future value, those maps are co-trained into a unified map Ψ. When the maps are trained, the weighted sum is used as the prediction. The predicted value is then used as the label when training other maps to predict the next time point. Clearly, ALM Ψ transforms spatial input X(tm) to temporal output Z(tm) at each point tm.
Credit
�Science China Press
Usage Restrictions
Use with credit.
License
Licensed content