VLSI design of cellular neural networks with annealing and optical input capabilities
B.J. Sheu, S.H. Bang, Wai-Chi Fang · 2002
A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. Circuits with annealing ability are included to achieve optimal solutions for many selected applications.