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Can I read Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions on EtoBox?
Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions by Yingwei Li; Huaiqin Wu is a Computer Science article available to read on EtoBox.
What is Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions about?
In this paper, a novel class of Cohen-Grossberg neural networks with delays and inverse Hölder neuron activation functions are presented. By using the topological degree theory and linear matrix inequality (LMI) technique, the existence and uniqueness of equilibrium point for such Cohen-Grossberg neural networks is investigated. By constructing appropriate Lyapunov function, a sufficient condition which ensures the global exponential stability of the equilibrium point is established. Two numerical examples are provided to demonstrate the effectiveness of the theoretical results.
Who reads Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Yingwei Li; Huaiqin Wu
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0020-0255)
- Published
- 2010
- Language
- EN
- Field
- Computer Science (Physical Sciences)