Since ancient times, people have tried to predict earthquakes using simple perceptions such as animal behavior. The prediction of the time and strength an earthquake is primary concern. In this study chaotic signal modeling used based on noise detecting anomalies before artificial neural networks (ANNs). Artificial are efficient tools for solving complex problems identification. study, effectiv...

Chaotic systems are nonlinear that show sensitive dependence on initial conditions, and an immeasurably small change in value causes large the future state of system. Besides, there is no randomness chaotic they have order within themselves. Researchers use many areas such as mixer can make more homogeneous mixtures, encryption be used with high security, artificial neural networks by taking ad...

this paper employs a general non-linear analysis tool to analyse the nature of time series associated with the price (returns) of a particular company in tehran stock exchange. it is shown that the behavior of the process associated with the price (returns) time-series of this company is weakly chaotic, and due to the non-random behavior of the process, short term prediction of stock price is p...

A new scientific approach to subgrid scale modeling is presented for chaotic problems involving a high degree of mixing over rapid time scales. RichtmyerMeshkov unstable flows are typical of such problems. Chemical reaction rates for turbulent mixtures are shown to converge with feasible grid resolution. The essential dependence of fluid mixing observables on transport phenomena is observed.

Solutions of a 1-D free-interface problem modeling solid combustion front propagating in combustible mixture with periodically varying concentration of reactant exhibit classical phenomenon of mode locking. Numerical simulation shows a variety of locked periodic, quasi-periodic and chaotic solutions. PACS: 05.45.-a, 02.30.Oz, 81.20.Ka

We propose a random matrix modeling for the parametric evolution of eigenstates. The model is inspired by a large class of quantized chaotic systems. Its unique feature is having parametric invariance while still possessing the nonperturbative breakdown that had been discussed by Wigner 50 years ago. Of particular interest is the emergence of an additional crossover to multifractality.

In recent years chaotic secure communication and chaos synchronization have received ever increasing attention. Unfortunately, despite the advantages of chaotic systems, Such as, noise-like correlation, easy hardware implementation, multitude of chaotic modes, flexible control of their dynamics, chaotic self-synchronization phenomena and potential communication confidence due to the very dynami...