Simulating nonlinear waves and partial differential equations via CNN. II. Typical examples
Tibor Kozek, Leon Ong Chua, T. Roska, Dietrich E. Wolf, Ronald Tetzlaff, Frank W. Puffer, K. Lotz · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 1995
For part I see ibid., vol.42, no.10, pp.807-15 (1995). Application of cellular neural network (CNN) paradigm of locally connected analog array-computing structures is considered for solving partial differential equations (PDE's) and systems of ordinary differential equations (ODE). Three examples are presented: a chain of particles with nonlinear interactions, solitons in a nonlinear Klein-Gordon equation, and an application of a reaction-diffusion CNN for fingerprint enhancement.>