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Simulating nonlinear waves and partial differential equations via CNN. II. Typical examples

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7 Author(s)
Kozek, T. ; Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary ; Chua, L.O. ; Roska, T. ; Wolf, D.
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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

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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:42 ,  Issue: 10 )