ToToday’s market place is increasingly dynamic and volatile. In this area supply network issues recently have attracted a lot of attention from industrial practitioners and academics worldwide. Chaos theory is the study of complex, nonlinear, dynamic systems. For chaotic systems, a tiny change in conditions may result in an enormous change in system output, whereas substantial changes in condit...

this paper proposes a hybrid control scheme for the synchronization of two chaotic duffing oscillator system, subject to uncertainties and external disturbances. the novelty of this scheme is that the linear quadratic regulation (lqr) control, sliding mode (sm) control and gaussian radial basis function neural network (grbfnn) control are combined to chaos synchronization with respect to extern...

In this paper, we investigate the dynamic behavior of a backpropagation neural network while learning the XOR-boolean function. It has been shown that the backpropagation algorithm exhibits chaotic behavior and this implies an highly irregular and virtually unpredictable evolution. We study the chaotic behavior as learning progresses. Our investigation indicates that chaos appears to diminish a...

The paper introduces the intelligent neural network to make forecast for the climate index in the real estate market. At the same time, deeply mine the practical use of intelligent system of neural network, thus, abundant chaos phenomenons are obtained in the hidden nodes by numerical simulation. The bifurcation diagram and chaotic attractors are drawn from two dimensional chaotic neurons to se...

This paper proposes an adaptive TSK-type fuzzy network control (ATFNC) system for synchronization of a coupled nonlinear chaotic system. The design of the proposed ATFNC system is comprised of a neural controller and a fuzzy compensator. The neural controller uses a Takagi-Sugeno-Kang (TSK)-type fuzzy neural network (TFNN) to online mimic an ideal controller and the fuzzy compensator is designe...