discreet reference model

The discreet reference model more easily allows the program to retain the components of an agglomeration in a way in which the traditional neural network does not. it is more likely that the parts of an associative agglomeration can be detected. On the other hand, since the program will develop its own internal data objects, these might be formed in such a way so that the original parts might be difficult to detect. back to Jim Bromer Theory