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Can I read The Construction of Arbitrary Stable Dynamics in Nonlinear Neural Networks on EtoBox?

The Construction of Arbitrary Stable Dynamics in Nonlinear Neural Networks by M.A. Cohen is a Computer Science article available to read on EtoBox.

What is The Construction of Arbitrary Stable Dynamics in Nonlinear Neural Networks about?

In this paper, two methods for constructing systems of ordinary differential equations realizing any fixed finite set of equilibria in any fixed finite dimension are introduced; no spurious equilibria are possible for either method. By using the first method, one can construct a system with the fewest number of equilibria, given a fixed set of attractors. Using a strict Lyapunov function for each of these differential equations, a large class of systems with the same set of equilibria is constructed. A method of fitting these nonlinear systems to trajectories is proposed. In addition, a general method which will produce an arbitrary number of periodic orbits of shapes of arbitrary complexity is also discussed. A more general second method is given to construct a differential equation which converges to a fixed given finite set of equilibria. This technique is much more general in that it allows this set of equilibria to have any of a large class of indices which are consistent with the Morse Inequalities. It is clear that this class is not universal, because there is a large class of additional vector fields with convergent dynamics which cannot be constructed by the above method.

Who reads The Construction of Arbitrary Stable Dynamics in Nonlinear Neural Networks?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
M.A. Cohen
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0893-6080)
Published
1992
Language
EN
Field
Computer Science (Physical Sciences)

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