排序方式: 共有34条查询结果,搜索用时 31 毫秒
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Based on phase space delay-coordinate reconstruction of a chaotic dynamics system, we propose a local prediction of chaotic time series using a support vector machine (SVM) to overcome the shortcomings of traditional local prediction methods. The simulation results show that the performance of this proposed predictor for making onestep and multi-step prediction is superior to that of the traditional local linear prediction method and global SVM method. In addition, it is significant that its prediction performance is insensitive to the selection of embedding dimension and the number of nearest neighbours, so the satisfying results can be achieved even if we do not know the optimal embedding dimension and how to select the number of nearest neighbours. 相似文献
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在对多个满足Kelber条件的滤波器组成的复合系统进行初步分析的基础上,提出了一个基于复合非线性数字滤波器的带密钥的Hash算法.算法首先构建能产生高维混沌序列的复合滤波器系统,然后在明文作用的复合序列控制下随机选择滤波器子系统,并以复合系统的初态作为密钥,以粗粒化的量化迭代轨迹作为明文的Hash值.讨论了复合系统实现Hash函数的不可逆性、防伪造性、初值敏感性等特点.研究结果表明:基于复合非线性数字滤波器的Hash算法简单快速,比基于单一混沌映射的Hash算法有着更高的安全性,同时滤波器结构中没有复杂的浮点运算,比一般复合混沌系统更易于软硬件实现.
关键词:
Hash 函数
混沌
非线性自回归数字滤波器 相似文献
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FAST EVOLVING MULTI-LAYER PERCEPTRONS FOR NOISY CHAOTIC TIME SERIES MODELING AND PREDICTIONS 总被引:2,自引:0,他引:2 下载免费PDF全文
A fast evolutionary programming (FEP) is proposed to train multi-layer perceptrons (MLP) for noisy chaotic time series modeling and predictions. This FEP, which uses a Cauchy mutation operator that results in a significantly faster convergence to the optimal solution, can help MLP to escape from local minima. A comparison against back-propagation-trained networks was performed. Numerical experimental results show that the FEP can help MLP better capturing dynamics from noisy chaotic time series than the back-propagation algorithm and produce a more consistently modeling and prediction. 相似文献
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ADAPTIVE NONLINEAR FEEDBACK CONTROL OF CHAOTIC SYSTEMS BASED ON REDUCED PARAMETER QUADRATIC PREDICTORS 总被引:1,自引:0,他引:1 下载免费PDF全文
An adaptive nonlinear feedback-control method is proposed to control continuous-time chaotic dynamical systems, where the adaptive nonlinear controller acts on only one-dimensional error signal between the desired state and the observed chaotic state of a system. The reduced parameter adaptive quadratic predictor used in adaptive feedback cancellation of the nonlinear terms can control the system to any desired state. Computer simulation results on the Lorenz system are shown to demonstrate the effectiveness of this feedback-control method. 相似文献
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基于混沌动力系统的相空间延迟坐标重构,利用混沌序列固有的确定性和非线性,提出了用 于混沌时间序列预测的一种少参数非线性自适应滤波预测模型.该预测模型在Volterra自适 应滤波器的基础上引入sigmoid函数来减少待定参数.实验研究表明,这种少参数非线性自适 应滤波预测器仅需用50个样本经20次预训练后,就能有效地预测一些低维混沌序列,且这种 少参数非线性自适应滤波预测器更便于工程实现.
关键词:
混沌
非线性自适应预测
少参数非线性自适应滤波器
自适应算法 相似文献
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结合混沌系统与传统单向Hash函数设计方法的优点,提出了一种基于混沌动态S-Box的带秘密密钥的单向Hash函数构造方法.该方法用混沌S-Box替换和函数查找表来生成具有混沌特性的Hash摘要.与现有混沌Hash算法相比,新方案没有将原始数据直接参与混沌迭代,而是采用混沌动态S-Box替换来提高系统的实时性能.研究结果表明:该方法不仅有很好单向性、初值和密钥敏感性,且有较大的密钥空间,易于实现.
关键词:
Hash函数
混沌
S-Box
函数查找表 相似文献
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基于混沌时间序列的非线性自适应预测原理,用一种sigmoid-Volterra自适应预测滤波器研究了连续混沌系统的非线性自适应预测跟踪控制.通过对Lorenz,R?ssler等典型混沌系统的控制,仿真证实了这种sigmoid-Volterra自适应预测控制器的有效性.这种方法的优点在于它既不需要知道精确的混沌系统模型,也不需要进行系统模型辨识.
关键词:
混沌
sigmoid-Volterra自适应预测滤波器
非线性自适应预测跟踪 相似文献