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/10.1088/1674-1056/19/4/040509

Additional details

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