Description: 利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。-use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results. Platform: |
Size: 4096 |
Author:李洁薇 |
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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: 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: 这是一个在matlab下时间序列分析ARMA模型的建立和预测程序。-This is a time series analysis matlab under the ARMA model and prediction procedures. Platform: |
Size: 2048 |
Author:www |
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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: 利用神经网络预测时间序列，以太阳黑子和实际的转子故障信号为例，matlab编程-Using neural network time series prediction to sunspots and the actual rotor fault signal as an example, matlab programming Platform: |
Size: 195584 |
Author:苏文胜 |
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Description: ＡＲＩＭＡ matlab实现 ， 对时间序列进行预测分析，谢谢大家-ARIMA matlab realize, prediction of time series analysis, I would like to thank everyone Platform: |
Size: 1024 |
Author:朱文俊 |
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Description: 对平稳时间序列中的参数估计方法（包括矩估计，极大似然估计）和预测方法（包括差分方程预测方法，逆函数预测方法，格林函数预测方法）应用matlab进行编程，大家可以方便使用-For stationary time series in the parameter estimation methods (including moment estimation, maximum likelihood estimation) and forecasting methods (including the difference equation forecasting methods, inverse function of forecasting methods, Green s function prediction method) Application matlab program, we can easily use Platform: |
Size: 9216 |
Author:黄飞鸿 |
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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: 使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series Platform: |
Size: 1024 |
Author:陆谨 |
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Description: matlab格式源代码。功能：径向基神经网络算法源码和应用于时间序列模型建立和预测问题。-matlab source code format. Function: RBF neural network algorithm source code and applies to time-series model and prediction of the problem. Platform: |
Size: 5120 |
Author:magic |
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Description: 针对金融时间序列分析中注重快速作出趋势判断的特点,利用数据挖掘的思想和工具,提出
一种金融时间序列模式快速发现算法. 与传统的预测算法相比较,该算法对数据的分布和平稳性等
方面的要求不高,不基于任何假设,能够非常快速地发现时间序列中的频繁模式,经过模式匹配后,
可以用于金融时间序列的分析与预测. 以实际汇率数据为例,证明了该算法的有效性-Financial time series analysis for rapid prediction of trend-oriented features, use of data mining ideas and tools of financial time series model is proposed Fast algorithm for discovering. With the traditional prediction method compared to the algorithm of data distribution and stability etc. do not ask, do not based on any assumptions, can very quickly find that the frequent time series patterns, by matching patterns can be used for financial time series analysis and prediction. to exchange rate data, show that the algorithm Platform: |
Size: 168960 |
Author:zhangjunhai |
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Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model by curve fitting and parameter estimation according to time series data obtained from system observation. It usually uses curve fitting and parameter estimation methods (such as nonlinear least squares). Time series analysis is commonly used in the national economy macro control, regional comprehensive development planning, enterprise management and market potential prediction, weather forecasting, hydrological forecasting, earthquake prediction, pest disaster forecasting, environmental pollution control, ecological balance, astronomy and oceanography etc..) Platform: |
Size: 1555456 |
Author:Terrier
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