Description: 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity Platform: |
Size: 227328 |
Author:蔡烽 |
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Description: 混沌时间序列局域法多步预报模型.doc(有程序下载)
针对混沌时间序列预测中用加权一阶局域法单步预报模型进行多步预报时计算量大且存在误差累积效应的不足，本文提出了基于相空间重构技术的局域法多步预报模型，包括加权一阶局域法多步预报模型和RBF神经网络多步预报模型。对几种典型混沌序列的预测仿真表明，两种模型对混沌时间序列的多步预报均较有效。
-chaotic time series Local Law multi-step prediction model. Doc (with the download) against chaotic time series prediction using a weighted-Local law single-step prediction model multi-step forecast at large calculation error and the cumulative effect of the shortage, In this paper, based on the phase-space reconstruction of local law multi-step prediction model Weighted including a local law-order multi-step prediction model and RBFNN multi-step prediction model. Several typical of the chaotic sequence forecast simulation shows that the two models of chaotic time series multi-step prediction than effective. Platform: |
Size: 143360 |
Author:呆雁 |
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Description: 混沌时间序列分析与预测工具箱 Version1.0
(Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0)
-chaotic time series analysis and forecasting toolbox Version1.0 (Chaotic Time Series Analysis and Prediction of Matlab Toolbox- version 1.0) Platform: |
Size: 429056 |
Author:xujia |
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Description: 混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法-Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method Platform: |
Size: 12288 |
Author:李洁 |
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Description: 互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0
点这里下载: 混沌时间序列分析与预测工具箱 Version1.0
chaotic time series analysis and prediction matlab toolbox - version 1.0
1、该工具箱包括了混沌时间序列分析与预测的常用方法,有
-Mutual information matlab, chaotic time series analysis and forecast Version1.0 point toolbox here to download: Chaotic Time Series Analysis and Forecast of the toolbox Version1.0chaotic time series analysis and prediction matlab toolbox- version 1.01, the kit includes a chaotic time series analysis with the projected common method, there are Platform: |
Size: 24576 |
Author:fdsfsfsf |
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Description: 混沌时间序列工具箱，有常有的混沌时间序列预测的方法和混沌判别方法-Chaotic time series toolbox, has often chaotic time series prediction methods and Chaos Method Platform: |
Size: 413696 |
Author:华清 |
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Description: 混沌时间序列预测中用gp算法求借嵌入维和分形维。-Chaotic time series prediction by using gp algorithm for embedding dimension and fractal dimension. Platform: |
Size: 3072 |
Author:章楷桦 |
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Description: 资源分配神经网络解决Mackey-Glass时间序列预测函数逼近问题-Neural network to solve the allocation of resources Mackey-Glass time series prediction function approximation problem Platform: |
Size: 1024 |
Author:吴强 |
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Description: 用于混沌时间序列自适应预测的一种稀疏Volterra滤波器-For chaotic time series prediction of a sparse adaptive Volterra filter Platform: |
Size: 55296 |
Author:研间会 |
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Description: 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法。-Chaotic time series analysis and prediction toolbox, including the analysis of chaotic time series prediction in many ways and methods. Platform: |
Size: 467968 |
Author:111111 |
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Description: matlab编写的基于混沌时间序列的神经网络预测，包括一步和多步预测算法。-matlab prepared chaotic time series based on the neural network to predict, including step and multi-step prediction algorithm. Platform: |
Size: 9216 |
Author:jcuaon |
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Description: 多变量混沌时间序列预测及其在股票市场中的应用 硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis Platform: |
Size: 3132416 |
Author:周寒 |
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Description: 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生
成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很
好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN
应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的
理论和应用价值。-Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support
vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to
determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed
adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine
tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust
capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive
SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately
predict chaotic time series，and it iS valuable in both theory and application aspects． Platform: |
Size: 316416 |
Author:11 |
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Description: 采用模糊神经网络anfis预测混沌时间序列的源程序。-The source program of Using fuzzy ANFIS neural network for predicting chaotic time series. Platform: |
Size: 571392 |
Author:胡玉霞 |
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Description: 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 Platform: |
Size: 4165632 |
Author:张泽宇 |
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Description: 韩敏版混沌时间序列理论与预测，内容详实，不错的一本好书。-Han Min version of chaos theory and time series forecasting, informative, good a good book. Platform: |
Size: 5186560 |
Author:李云 |
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