C++ Neural Networks and Fuzzy Logic: Preface

What’s in a Name?

More like what’s in the box? Suppose you find the following: there is a square box and its corners are the

locations for an entity to be. The entity is not at one of the corners, but is at some point inside the box. The

next position for the entity is determined by working out the change in each coordinate of the position,

according to a weight matrix, and a squashing function. This process is repeated until the entity settles down

at some position. The choice of the weight matrix is such that when the entity reaches a corner of the square

box, its position is stable and no more movement takes place. You would perhaps guess that the entity finally

settles at the corner nearest to the initial position of it within the box. It is said that this kind of an example is

the reason for the name Brain−State−in−a−Box for the model. Its forte is that it represents linear

transformations. Some type of association of patterns can be achieved with this model. If an incomplete

pattern is associated with a completed pattern, it would be an example of autoassociation.