The Laser DNA interaction system motion equation was derived by means of quantum mechanics,and the problem of chaotic state of the system expressive the solution of this eq.

The pseudo random of chaotic state is described according to the motion of point in phase.

By the method of adiabatic theorem,this paper studies the semiclassical quantization of a chaotic state for a coupled system.

Two neuron system with an inertial term to exhibit transient chaos;

Based on a neural network with transient chaos and time-variance gain,neural network structure and computational energy function for solving optimal route selection was constructed,and then an algorithm which can support the driver in deciding on an optimal route to his preference was proposed.

By introducing transient chaos and time variant gain, the proposed chaotic neural network has richer and more flexible dynamics than Hopfield like neural networks only with point attractors, so that it can be expected to have higher ability of searching for globally optimal or near optimal solutions.

A Method to Solve Job-shop Schedule Problems by Neural Network with Transient Chaos;

Assignment problems are solved by a neural network model with transient chaos (TCNN).

TSP problem is solved by a neural network model with transient chaos (TCNN),compared with Hopfield neural network (HNN),TCNN would not be stuck into local minimum by introducing chaos which is generated by negative self-feedback into HNN.

The chaotic neural network was applied to the shortest path problem,dynamic route guidance network routing algorithm based on transiently chaotic neural network dynamic route guidance was presented.

This paper studied the chaotic transient phenomena of a controlled electromechanical system with a time delay in the feedback path.

It was shown that chaotic transients occurred in the system with tw.

This paper presents a study on the chaotic transient phenomena of a controlled electromechanical system with a time delay in the feedback path.