量子细胞神经网络的超混沌特性研究

Study of hyperchaotic behavior in quantum cellular neural networks

研究了由量子点细胞自动机构成的量子细胞神经网络的非线性动力学特性 .以量子点细胞的极化率和量子相位作为状态变量 ,对 3个细胞耦合的量子细胞神经网络进行了理论分析和计算机仿真研究 .结果表明 ,该网络系统呈现复杂的混沌动力学行为 ,混沌振荡产生非常容易 .由数值计算得到的两个最大正Lyapunov指数证实了该系统具有超混沌特性 .

The nonlinear dynamical behavior of a quantum cellular neural network (QCNN) by coupling quantum-dot cellular automata was investigated. The theoretical analysis and simulation for a three-cell coupled QCNN has been done by using the polarization of a quantum-dot cell and the quantum phase as state variables. The complex and abundant chaotic behaviors can be observed. Chaotic oscillations occur very easily. Two positive maximum Lyapunov exponents have been calculated in order to verify the hyperchaotic behavior.