Recall / Optimisation

In other instantiations of the system a more surprising result can be observed. We examine the number of

trials where a system with learning finds a lower energy configuration than the same system run under the

same conditions without learning. When this happens it indicates that the learning process is enabling the

network to find better solutions faster, even for the first time, and not merely to recall good solutions that

have already been visited.