Weight-To-Weight, Weight-To-Weight Adjustment, Weight-To-Weight Training - A (patented)
learning method, described in Netlab, for adjusting the
weights of a
neuron. It adjusts the value of one
synapse weight in a
multitemporal synapse, using the value of one or more other weights that have been used to make the same connection.