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• W2167295983 abstract "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.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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• W2167295983 date "1995-01-01" @default.
• W2167295983 modified "2023-10-01" @default.
• W2167295983 title "Simulating nonlinear waves and partial differential equations via CNN. II. Typical examples" @default.
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• W2167295983 doi "https://doi.org/10.1109/81.473591" @default.
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