Circuit Simulation of Analog VLSI On-chip learning Neural Networks for Industrial Applciations

摘要

Artificial Neural Networks are very promising computational paradigms for the efficient solution of a large number of industrial problems. In particular our main research activity cocerns the analog VLSI implementation. In this paper we present the circuit macorndels of neural primitive circuits and the circit simulation resutls of a neural network which learns the logic parity function .This approach has evidenced the possiblity of simulating complex networks with reasonable duration time.