This paper appears in: Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Issue Date : 7-8 Nov. 2009

Abstract
The study includes the correlation dimension and the largest Lyapunov exponent of sea clutter based on real radar data obtained with IPIX X-band polarimetric coherent radar, which proved that sea clutter has chaotic characteristics. A method of prediction about sea clutter signal based on chaotic neural network and theory of phase-space reconstruction is established, which has a in-depth analysis of the chaotic neural network and modulates the network parameters to improve the convergence rate of the network. The numerical results of prediction model demonstrate that chaotic neural network is better than traditional methods

This paper appears in: Natural Computation, 2009. ICNC '09. Fifth International Conference on
Issue Date : 14-16 Aug. 2009

ABSTRACT

In order to study the disturbance of chaotic neural network, the disturbance of trigonometric function was introduced into chaotic neural network and chaotic neural units with disturbance of trigonometric function were studied. The reversed bifurcation and the maximum Lyapunov exponent were given and the dynamic system was analyzed. Then it is applied in the function and combinatorial optimization problems. The simulation results show that the chaotic neural network with disturbance of trigonometric function can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the strong robustness and anti-interference ability are embodied in chaotic neural network.