The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores
Tamas Zeffer, Timót Hidvégi · 2006
A configurable artificial neuron network that is capable of establishing both the emulated digital cellular neural network (CNN) and the static multilayered feedforward neural network (MFNN) is described. The configurable neural network is designed with the method of modularity where each module is a three weighted input neuron. The network can be optionally large limited only by the gate number available on a chip