Published April 2010
| Version v1
Journal article
A novel chaotic system with one source and two saddle-foci in Hopfield neural networks
- 1. Department of Automation, Nankai University, Tianjin 300071 (China)
Description
This paper presents the finding of a novel chaotic system with one source and two saddle-foci in a simple three-dimensional (3D) autonomous continuous time Hopfield neural network. In particular, the system with one source and two saddle-foci has a chaotic attractor and a periodic attractor with different initial points, which has rarely been reported in 3D autonomous systems. The complex dynamical behaviours of the system are further investigated by means of a Lyapunov exponent spectrum, phase portraits and bifurcation analysis. By virtue of a result of horseshoe theory in dynamical systems, this paper presents rigorous computer-assisted verifications for the existence of a horseshoe in the system for a certain parameter. (general)
Availability note (English)
Available from http://dx.doi.org/10.1088/1674-1056/19/4/040509Additional details
Identifiers
Publishing Information
- Journal Title
- Chinese Physics. B
- Journal Volume
- 19
- Journal Issue
- 4
- Journal Page Range
- [6 p.]
- ISSN
- 1674-1056
INIS
- Country of Publication
- China
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45009449
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ATTRACTORS; BIFURCATION; CHAOS THEORY; LYAPUNOV METHOD; NETWORK ANALYSIS; NEURAL NETWORKS; PERIODICITY; THREE-DIMENSIONAL CALCULATIONS; VERIFICATION
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICS; VARIATIONS