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Cellular non‐linear networks for minimization of functionals. Part 2: Examples
Author(s) -
Bizzarri Federico,
Storace Marco,
Parodi Mauro
Publication year - 2001
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.140
Subject(s) - maxima and minima , discretization , class (philosophy) , computer science , minification , cellular neural network , field (mathematics) , resistive touchscreen , network analysis , mathematics , algorithm , mathematical optimization , artificial neural network , artificial intelligence , mathematical analysis , pure mathematics , engineering , electrical engineering , computer vision
A method for the definition of cellular non‐linear networks able to find approximate minima of rather a large class of continuous functionals is illustrated through three examples. The method, based on the spatial discretization of continuous functionals and on the theory of potential functions for resistive circuits, has been presented in Part 1 of this paper. The first example (related to electromagnetic‐field theory) has the main purpose to show some aspects of the application procedure. The other two examples concern, respectively, a possible image‐processing application of the method (where a parallel processing is highly desirable) and a comparison with another method proposed in the literature on CNNs. Copyright © 2001 John Wiley & Sons, Ltd.

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