Categorization by a three-state attractor neural network
Categorization by a three-state attractor neural network
The categorization properties of an attractor network of three-state neurons, which infers three-state concepts from examples, are studied. The evolution equations governing the parallel dynamics at zero temperature for the overlap between the state of the network and the examples, the state of the network, and the concepts, as well …