Generating chaos by an Elman network

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Volumn 48, Issue 9, 2001, Pages 1126-1131

  Li, Xiang ^a   Chen, Zengqiang ^a   Yuan, Zhuzhi ^a   Chen, Guanrong ^b  

^a NANKAI UNIVERSITY   (China)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Chaos; Chaos generation; Elman network; Lyapunov exponent

Indexed keywords

BRAIN; CHAOS THEORY; COMPUTER SIMULATION; LYAPUNOV METHODS; STABILITY; STATE SPACE METHODS;

CHAOS GENERATION; ELMAN NETWORK; FIXED POINT STABILITY; NONLINEAR NEURON ACTIVATION FUNCTION;

NEURAL NETWORKS;

EID: 0035441461     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/81.948441     Document Type: Article

References (15)

1. The physiology of perception
2. A chaos neuro-computer
3. Period-doubling of kink-antikink patterns, quasiperiodicity in antiferro-like structures and spatial intermittency in coupled logistic lattice
4. Clustering, coding, switching, hierarchical ordering, and control in a networks of chaotic elements
5. A network of chaotic elements for information processing
6. Chaotic neural networks
7. Chaotic simulated annealing by a neural network model with transient chaos
8. Finding structure in time
9. Training of Elman network and dynamic system modeling
10. On the computational power of recurrent neural networks for structures
11. Nonlinear stable adaptive control based upon Elman networks
12. Dynamics of iterated-map neural networks
13. Study of chaotic mechanism in system identification using T-S model fuzzy neural networks
14. A practical method for calculating largest Lyapunov exponents from small data sets