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1)  distributional chaos
分布混沌
1.
A notion of distributional chaos is introduced.
引进了分布混沌的概念,利用符号动力学的方法,证明了在区间[0,1]上存在连续自映射,在分布混沌意义下,它的混沌集的Lebesgue测度为1。
2.
In this paper,we expect to know the chaotic actions of a model clearly according to the chaotic analysis,and obtain the result that the model is distributional chaos,Martelli-chaos,Deaney-chaos,Block-coppel chaos within the parameter range,thereby providing theoretical guidance for the application of the model in the field of ecology.
通过对单种群模型的混沌分析,以期对混沌行为有较为清晰的了解,得到了在参数范围内的模型分别是分布混沌,Martelli-混沌、Devaney-混沌、Block-Coppel混沌,为此模型在生态学诸领域中的应用提供理论指导。
3.
The relationship between topological entropy and distributional chaos is discussed here.
研究了树上一般连续映射的熵与分布混沌的关系。
2)  distributively scrambled set
分布混沌集
1.
Having investigated the subshifts induced by those non-primitive constant-length substitutions on two symbols,we gave an equivalent condition for such a subshift to be Li-Yorke chaotic and proved that each of the subshifts has no distributively scrambled sets.
探讨由两个符号非本原等长代换诱导的子移位,给出了该子移位是Li-Yorke混沌的一个等价条件,并证明任何这样的子移位都没有分布混沌集。
3)  M-J chaotic distribution images
M-J混沌分布图
4)  chaos in a sequence
按序列分布混沌
1.
In this paper,we studied the relationship between chaos in a sequence and R—T Chaos.
研究了按序列分布混沌和R—T混沌之间的关系。
5)  chaos analysis
混沌分析
1.
Effects of different thermal backgrounds on urban rainfall(rainstorm) (Ⅱ): chaos analysis in time series data of rainfall;
不同热力背景对城市降雨(暴雨)的影响(Ⅱ)──降雨时序的混沌分析
2.
The properties and components of pressure fluctuation signals in coarse circulation fluidized bed was researched by power spectrum analysis,R/S analysis and chaos analysis.
应用功率谱分析法、R/S分析法及混沌分析法对大颗粒循环流化床压力波动信号的性质和组成进行了研究。
3.
The properties and components of pressure fluctuation signals in gas solid fluidized bed was dissected quantitatively by using power spectrum analysis,R/S analysis and chaos analysis.
应用功率谱分析、R/S分析、混沌分析等对气固流化床压力波动信号的性质、组成进行了定量解剖。
6)  chaotic analysis
混沌分析
1.
This paper introduces the modern methods for biomedical signal processing,the methods of which include biomedical signal detection, filtering; and biomedical signal analysis by means of frequency analysis, wavelet analysis, chaotic analysis and neural network analysis,and discusses in detail their contents, characters and applications.
这些方法包括生物医学信号的检测、滤波、频谱分析、小波分析、混沌分析和神经网络分析,对这些方法的内容和性质作了具体分析并讨论了它们的应用。
2.
Combined with the chaos theory and artificial neural networks,this paper presents a BP neural networks model based on chaotic analysis in the phase space.
结合混沌分析理论和BP神经网络,提出在混沌相空间建立BP神经网络模型。
3.
The parametric analyses include ARMA model, fractal dimension, and chaotic analysis for detecting weak signals in strong noise environments.
参数化分析方法有ARMA模型、分形维数计算及用于判别微弱信号存在性的混沌分析法等 ;非参数化方法即谱分析方法 ,包括传统的DFT谱方法及在此基础上的提高频率分辨能力 (如AR功率谱 )和时频联合分析 (小波分解、Wigner谱 )等内容。
补充资料:化学混沌
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性质:有些化学反应体系的状态在某些确定的外部条件下可随时间呈不规则的(非周期性的)振荡,其振荡行为对初始条件非常敏感。这种振荡的不规则性并不是由外界条件的不规则性引起的,而是由体系内部的决定性的非线性动力学产生的。这种不规则的化学振荡状态称为化学混沌。

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