Description: 介绍了用支持向量机方法做时间序列回归和预测的步骤-introduces the SVM methods regression and time series prediction steps Platform: |
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Author:陈莹 |
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Description: 灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）-gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where : -- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2) - and solutions differential equations, (1 1) Fore Platform: |
Size: 2972 |
Author:罗军 |
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Description: 灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）-gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore Platform: |
Size: 3072 |
Author:罗军 |
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Description: 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC Platform: |
Size: 221184 |
Author:杜昭翼 |
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Description: 基于均值生成函数时间序列预测算法程序
1. predict_fun.m为主程序
2. timeseries.m和 seriesexpan.m为调用的子程序
-function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for the subprogram Platform: |
Size: 1024 |
Author:helen14 |
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Description: 小数据量法求混沌吸引子最大Lyapunov指数的Matlab程序，参考文献：张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03-small data method for chaotic attractor largest Lyapunov exponent of Matlab procedures References : Zhang Shu. The chaotic time series Volterra adaptive prediction. Physics reported .2000.03 Platform: |
Size: 8192 |
Author:江维 |
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Description: 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will be able to realize short-term power load forecasting, the same used in other types of time series prediction Platform: |
Size: 1024 |
Author:sunyan |
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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: 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction Platform: |
Size: 84992 |
Author:四度 |
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Description: 介绍了用支持向量机方法做时间序列回归和预测的步骤-introduces the SVM methods regression and time series prediction steps Platform: |
Size: 4096 |
Author:陈莹 |
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Description: 对GARCH－t模型参数的估计,主要是运用已有的股票数据估计参数-GARCH-t model for the estimated parameters, mainly the use of stock data has been estimated parameters Platform: |
Size: 3072 |
Author:董晓伟 |
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Description: 基于 SVM 时间序列预测 教案 支持向量机 Support Vector Machines,SVM-Time Series Prediction Based on SVM Support Vector Machine Lesson Plan Support Vector Machines, SVM Platform: |
Size: 713728 |
Author:王刚 |
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Description: 混沌时间序列分析与预测源代码。具有产生混沌时间序列，求时延，求嵌入维，求关联维，求K熵，求Lyapunov指数谱，求二进制图形的盒子维和广义维，求时间序列的盒子维和广义维，混沌时间序列预测等项功能。-Chaotic time series analysis and prediction of the source code. Has generated chaotic time series, and delay, and embedding dimension, and correlation dimension, and K-entropy, and Lyapunov exponent spectra, and the binary graphics box peacekeeping generalized dimensions, and time series of box-dimensional and generalized dimension, chaotic time series prediction functions. Platform: |
Size: 579584 |
Author:李志 |
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Description: 混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑-Chaotic time series prediction matlab routines, own, and hope that we will not stock Platform: |
Size: 23552 |
Author:朱文俊 |
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Description: 利用灰色系统进行预测的几篇好论文:
BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model Platform: |
Size: 883712 |
Author:yujian |
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