Neural network form which diagrams a neural network architecture
in which either a set of units or a set of weights contain the
elements of the vector.
For instance, a vector can be mapped to a two layer network (one input
and one output layer) as depicted in Figure 5. The number of units in
the input layer corresponds to the number of dimensions in the original
vector, while the output layer contains only 1 unit. Each input unit
is connected to each output unit. The input units represent one vector
and the weights represent a second vector.
Figure 5: The network corresponding to a vector memory.