• Sloan imposed tight financial controls and brought order to the chaotic model line-up.

    斯隆加强了财政控制并且将混乱的模型流水线治理得有条不紊。

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  • Mapping method about chaotic sequence is researched to encryption factor sequence using two-dimensional discrete chaotic model.

    采用二维离散混沌模型,研究了从混沌序列到加密因子序列的映射方法。

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  • Fifthly, we lucubrate the chaotic characteristic of the real hopping frequency codes and propose the chaotic model of hopping frequency codes.

    深入研究了实际侦收到的跳频码的混沌特性,提出了跳频码的混沌模型。

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  • The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.

    这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠,而且计算量小、相对容易操作。

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  • According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.

    根据滑坡位移时间序列的非线性性质,应用混纯时间序列预测方法,建立滑坡预测的非线性混纯模型。

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  • Taking aim at the bad prediction filtering effect on wave hydrodynamic pressure field under high oceanic condition, a novel prediction filtering method was proposed based on chaotic model.

    针对高海况下对海浪水压场实施预测滤波效果较差这一问题,文中基于混沌模型提出了一种新的预测滤波方法。

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  • In order to solve serious urban transport problems, according to the proved chaotic characteristic of traffic flow, a non linear chaotic model to analyze the time series of traffic flow is proposed.

    为了解决日益严重的城市交通问题,本文根据交通流已被证明的混沌特性,尝试采用非线性混沌模型来分析交通流时间序列。

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  • Assigning extreme parameter values to the model, the team was able to find chaotic behavior in space over time.

    对这个模型指定极端的参数价值,这个团队能够发现超越时间空间的混沌行为。

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  • The algorithm makes fully use of initial value sensitivity and track ergodicity of chaos, overcoming the disadvantage of big searching dead zone existed in conventional chaotic mutation model.

    该算法充分利用混沌的初值敏感性和轨道遍历性,克服了已有混沌变异模型存在搜索盲区大的缺点。

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  • The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .

    对反馈神经网络进行了研究,在分析现有混沌神经网络的工作原理的基础上,提出一种新的混沌神经网络模型。

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  • But the classical erp, which focuses on transaction processing, cannot efficiently support the ever changing and improving enterprise model in a chaotic environment.

    面向事务处理的经典ERP系统,不能有效支持企业在混沌环境下不断变化业务模型及业务模型的持续改进。

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  • In this paper, the prediction of mathematical model for chaotic sequence in electronic antagonism and the anti-reconnaissance based on chaotic sequence are presented.

    本文介绍了电子对抗中对混沌时间序列进行预测的一种数学模型和一种基于混沌序列的反侦察系统。

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  • A physical model of nonlinear evolution of chaotic signal propagation in optical fiber is presented by coupling chaotic laser system with optical fiber channel.

    通过耦合激光混沌系统和光纤传输信道,提出光纤混沌信号传输的非线性演化物理模型。

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  • Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.

    采用模糊动态模型逼近混沌非线性系统,将混沌非线性系统模糊化为局部线性模型。

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  • By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.

    采用模糊动态模型逼近非线性混沌系统,将非线性混沌系统模糊化为局部线性模型。

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  • Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.

    考虑神经网络在训练大规模样品时易陷入局部极小,用梯度下降法与混沌优化方法相结合,使神经网络实现快速训练的同时,避免陷入局部极小。

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  • Based on the analysis and the deterministic characterization of chaotic signals, we propose a interference method by constructing a nonlinear predictive model.

    基于对混沌信号分析方法的研究,利用混沌序列固有的确定性,我们提出了一种预测干扰的方法。

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  • The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.

    基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。

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  • Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.

    基于混沌时间序列的局域线性预测模型,提出了多嵌入维的短期负荷预测方法。

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  • The chaotic control of the model by OGY method was discussed and a new way was provided to improve the precision of the six roll UC mill.

    利用OGY控制方法,对该迭代模型进行了混沌控制,为从根本上提高六辊uc轧机轧的轧制精度提供了一种新的控制思想。

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  • The nonlinear chaotic system has been fuzzy into local linear model.

    将非线性混沌系统模糊化为局部线性模型。

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  • The model of two intercoupling uncertain chaotic systems is studied. Based on robust control, a synchronization scheme is proposed.

    以两个相互耦合的不确定性混沌系统为研究模型,基于鲁棒控制,提出了同步方案。

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  • We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.

    基于变分贝叶斯及相空间重构理论,提出了含噪混沌时间序列相空间域线性回归预测模型。

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  • In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.

    第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。

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  • The mathematical model for the motion of CVE 2 type chaotic vibration exciter was set up and its numerical simulation and chaotic identification were carried out.

    建立了使用滑动轴承的CVE -2型混沌激振器所产生的运动的数学模型,并对其进行了数值仿真和混沌识别。

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  • Reviews the research progress of chaotic neuron model and chaotic neural networks in recent years, introduces the characteristics and application of the chaotic neural networks.

    回顾了近年来几种主要混沌神经元模型及混沌神经网络的研究进展,介绍了其特点及主要的应用。

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  • Reviews the research progress of chaotic neuron model and chaotic neural networks in recent years, introduces the characteristics and application of the chaotic neural networks.

    回顾了近年来几种主要混沌神经元模型及混沌神经网络的研究进展,介绍了其特点及主要的应用。

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