DIGITAL VLSI CIRCUIT-DESIGN AND SIMULATION OF AN ADAPTIVE RESONANCE THEORY NEURAL-NETWORK

A digital VLSI circuit design for an adaptive resonance theory (ART) n eural network architecture, called the augmented ART-1 neural network (AART1-NN) is presented. An 'axon-synapse-tree' structure is used to r ealize the activities of the short-term memories and reset subsystem. The long-term memory traces are implemented using NMOS transmission ga tes. PSpice circuit simulation was carried out to verify the design of a prototype, seven-node AART1-NN. A clock-controlled delay element is included in the simulation to illustrate the functionality of the AAR T1-NN. It is shown that the AART1-NN node selection activities simulat ed from the circuit designed are identical to those described by the c oupled differential equations governing the AART1-NN.