| 1. | Compressor stall analysis based on chaotic attractor
基于混沌吸引子的压气机失速分析 |
| 2. | Riddled basins in dynamical systems with two synchronized chaotic attractors
双同步混沌吸引子动力系统中的筛形域 |
| 3. | Numerical determination of symmetry - increasing bifurcation of chaotic attractors in a class of planar d3 - equivariant mapping
3等变映射的混沌吸引子对称增加分歧的数值确定 |
| 4. | Security analysis of public - key cryptography based on chaotic attractors of neural networks and its implementation
基于神经网络混沌吸引子的公钥密码算法安全性分析及其实现 |
| 5. | This seems to be a common feature of the chaotic attractors those appear after the prelude phase - locking staircase in the system
这很可能是这个系统中v型阵发前奏锁相阶梯后的混沌吸引子的共同特征。 |
| 6. | Our numerical investigation also indicates that the chaotic attractor appeared after the prelude phase - locking staircase was end - result of the set of the images of the discontinuous border of the system function
我们的数值结果还说明在v型阵发前奏锁相阶梯之后出现的混沌吸引子就是映象函数的不连续边界的象集的归宿。 |
| 7. | Different from conventional artificial neural network , the kiii network works in its chaotic trajectory . the learning and pattern recognition process of the network is also relative to its memory basins , which are some kind of chaotic attractors
而且与以往的人工神经网络不同的是， k网络是工作在混沌轨道上的，其对于信息模式的学习和记忆，对模式的识别也是通过混沌吸引子实现的。 |
| 8. | These include two keys problem in phase space reconstruction theory , that is embedding dimension and optimal delay time , and numeric recognition of chaos , that is lyapunov exponent , as well as numeric recognition of fractal , that is correlative dimension of chaotic attractors
其中重点讲述了非线性动力学的数值研究实验方法：相空间重构的两个关键问题，即嵌入维数和最佳延迟时间；混沌的数值识别，即李雅普诺夫指数；分形的数值识别，即吸引子的关联维数。 |
| 9. | We describe the meaning of chaos > future idea of chaotic theory and influence on forecast ; introduce the character of chaotic time series , and point out the problem and shortage of the methods already existed computing character value which are fractal dimension and the largest lyapunov exponent and improve on it ; present the forecast principle of forecast method based on chaotic attractor , and point out the shortage of local field forecast method based on chaotic attractor and bring forward improved on methodo at the same time , we put forward a banausic algorithm and compare two models using practical example
论述了混饨的含义与混沦理论的未来观及其对预测的影响；介绍了。混饨时间序列的特征，指出了己有的计算分形维及最大李雅谱诺夫指数这两个特征量的方法存在的问题与不足，并对此进行了改进；给出了基于混饨吸引子的预测方法的预测原理，指出了常用的基于混炖吸引子预测的局域法的不足并给出了改进方法，同时，给出了其实用算法，并用实例进行了比较。 |
| 10. | Secondly , this paper analyses dynamically the dynamic behavior of several typical chaotic attractor in its phase space , and move specialty of chaotic attractor . the complicated degree is described using the density of phase space in the chaotic attractor . its method is better than the method of probability statistic
对几种典型的混沌吸引子在相空间的动力行为进行动态仿真分析；利用混沌吸引子在相空间的密度刻画混沌吸引子的复杂程度，同用概率统计的方法作比较，其结果较好地反应了混沌吸引子的复杂程度。 |
