Published October 18, 2004
| Version v1
Journal article
A novel network of chaotic elements and its application in multi-valued associative memory
- 1. Laboratory (staff room) 231, Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081 (China)
- 2. Laboratory staff room 231, Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081 (China)
Description
We give a novel chaotic element model whose activation function composed of Gauss and Sigmoid function. It is shown that the model may exhibit a complex dynamic behavior. The most significant bifurcation processes, leading to chaos, are investigated through the computation of the Lyapunov exponents. Based on this model, we propose a novel network of chaotic elements, which can be applied in associative memory, and then investigate its dynamic behavior. It is worth noting that multi-valued associative memory can also be realized by this network
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2004.08.061;
- PII
- S0375-9601(04)01231-9;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 331
- Journal Issue
- 3-4
- Journal Page Range
- p. 217-224
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 36059643
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- BIFURCATION; CHAOS THEORY; DYNAMICS; FUNCTIONS; LYAPUNOV METHOD; NEURAL NETWORKS
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICS; MECHANICS
Optional Information
- Copyright
- Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.