VLSI implementation of a neural network for solving linear second order parabolic PDE
S.T. Moon, Bo Xia, R.G. Spencer, Gunhee Han, E. Sánchez‐Sinencio · 2002
Proposes an implementation of a cellular neural network to solve linear second order parabolic partial differential equations. This paper describes the underlying theory, circuit architecture and techniques employed to improve accuracy and throughput. A modified time-multiplexing scheme is applied to provide an area efficient solution. Simulation results and comparison are also included to illustrate the circuit performance.