搜索资源列表
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混沌工具箱
C-C方法计算时间延迟和嵌入维数
混沌时间序列预测-Chaos Toolbox CC method to calculate time delay and embedding dimension of chaotic time series prediction
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SOM-BASED TIME SERIES PREDICTION
Training Time Series
Testing Time Series
Local Linear Mapping (LLM)
Vector-Quantized Temporal Associative Memory (VQTAM)
Global RBF (GRBF, download here) and Local RBF (KRBF)
Local AR predictors using data
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混沌时间序列预测程序与文档
包括CC方法、GP方法、Lyapunov指数预测等-Chaotic time series prediction method procedures and documentation, including CC, GP method, Lyapunov index prediction
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混沌时间序列 吸引子 分形 程序 工具包
混沌时间序列分析与预测工具箱 Version1.2
chaotic time series analysis and prediction matlab toolbox - version 1.2
-Chaotic attractor of fractal time series Toolkit chaotic time series analysis and prediction toolbox Version1.2 chaotic tim
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基于混沌理论的时间序列的系统多步预测函数-Based on the theory of chaos time series prediction function of the system
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混沌时间序列的Volterra级数多步预测研究,混沌理论认为在混沌系统中,初始条件的十分微小的变化经过不断放大,对其未来状态会造成极其巨大的差别。 -Volterra series of chaotic time series multi-step prediction, chaos theory is that in the chaotic system, the initial conditions of very small changes through continuous zoom,
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混沌时间序列多步自适应预测方法,非常有用,采用自适应算法,比局部算法要准确-chaos time series prediction
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吕金虎《 混沌时间序列分析及其应用》,对混沌和预测相关的有很大帮助-Lu Jinhu "chaotic time series analysis and its applications," chaos and prediction of great help related
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应用小波变换和混沌理论相结合的方法对股票市场进行预测 ,即先对股指时序进行小波分解 ,然后对分解得到的高、低频部分分别进行混沌预测 ,再将预测的结果进行小波重构 ,得到原时序的预测结果。 在此基础上应用小波和混沌理论提出进一步提高预测精度的方法 ,即通过对高频部分再进行小分解、混沌预测和小波重构而使高频部分的预测精度得以提高 ,进而提高原始时序的预测精度。(The method of combining wavelet transform and chaos theory is used to
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