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[Other resourceAR(5)

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: 3860 | Author: 李洁薇 | Hits:

[CSharpConsoleMatrix

Description: 自适应灰色预测模型 利用C#程序编制 很有用的-adaptive prediction model using C# programming very useful
Platform: | Size: 71680 | Author: 梁藉 | Hits:

[AlgorithmAR(5)

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 | Hits:

[Booksburg.

Description: burg法估计AR(P)模型参数的算法。里面ef是前项误差bf是后项误差,mse是预测误差的均方值。程序的最后输出的是把各阶预测误差放在一个下三角距阵中-burg estimates the AR (p) model parameter algorithm. Ef is inside the former bf error is the latter error, mse is forecast error of the mean square value. Procedures for the final output stage is the prediction error on a triangular matrix under which
Platform: | Size: 1024 | Author: 李伟 | Hits:

[Otherarimapred

Description: ARIMA matlab实现 , 对时间序列进行预测分析-ARIMA matlab realize, prediction of time series analysis
Platform: | Size: 1024 | Author: | Hits:

[Otherlpc_m

Description: 实现LPC线性预测分析,能够提取AR模型参数并进行DCT变换处理-The realization of LPC linear prediction analysis, AR model parameters can be extracted and DCT transform
Platform: | Size: 237568 | Author: miracomtrue | Hits:

[CSharpLogOn

Description: c#实现线性回归预测,线性回归时一个有用的技术,本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression prediction,completly free ,
Platform: | Size: 15360 | Author: venus | Hits:

[OtherAR

Description: 天然情况下,根据灰色模型对河道来水进行中长期预测,比较完整-Under natural conditions, according to the gray model for long-term prediction of river runoff, a relatively complete
Platform: | Size: 15360 | Author: 张天宏 | Hits:

[matlabARandARMA

Description: 实现了数据从文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of
Platform: | Size: 12288 | Author: 张迎 | Hits:

[matlabSOM_PREDICTION

Description: 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 vectors (LARD) Local AR predictors using weigth vectors (LARW)
Platform: | Size: 39936 | Author: Carlos Wilson | Hits:

[AI-NN-PRar

Description: ar模型的一个例子,详细描述了时间序列预测的步骤,且成功实现预测功能-ar model of an example of a detailed description of the steps time series prediction and forecasting function successfully
Platform: | Size: 9216 | Author: yening | Hits:

[Documentsniu

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: 牛逼 | Hits:

[matlabDGM

Description: 离散灰色预测模型和AR预测模型的组合预测,matlab-Discrete gray prediction model and predict the combination of AR prediction model, matlab
Platform: | Size: 1024 | Author: tiechou | Hits:

[matlabar-kalman-1

Description: 基于卡尔曼算法的AR模型系数预测,利用卡尔曼滤波算法对AR模型的系数进行实时更新,可以观察到预测准确度有明显提高-Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy
Platform: | Size: 1024 | Author: 月光下的路 | Hits:

[matlabar(5)

Description: 一个五阶的自回归短期预测模型的MATLAB程序-A AUTOREGRESSion model used to prediction
Platform: | Size: 4096 | Author: donghui | Hits:

[matlabar2

Description: a matlab code for AR prediction
Platform: | Size: 1024 | Author: feng | Hits:

[Windows DevelopSoftware-faults-prediction-using-multiple-classif

Description: Abstract—In recent years, the use of machine learning algorithms (classifiers) has proven to be of great value in solving a variety of problems in software engineering including software faults prediction. This paper extends the idea of predicting software faults by using an ensemble of classifiers which has been shown to improve classification performance in other research fields. Benchmarking results on two NASA public datasets show all the ensembles achieving higher accuracy rates compared with individual classifiers. In addition, boosting with AR and DT as components of an ensemble is more robust for predicting software faults.
Platform: | Size: 143360 | Author: kanly88 | Hits:

[matlabTimeprediction-AR-MATLAB

Description: 时间序列AR模型预测的matlab源文件,可直接运行,有仿真结果。-Time series prediction of the AR model matlab source file, can be directly operation, the simulation results.
Platform: | Size: 398336 | Author: 王宝强 | Hits:

[matlabAR-model

Description: 基于神经网络的一步预测程序,用于混响序列的目标回波检测-Step prediction procedure based on neural networks for reverb-echo sequence detection
Platform: | Size: 1024 | Author: | Hits:

[matlabAR

Description: AR模型,用于AR预测很准的,使用两种方法,最大熵法以及最小二乘法。(The AR model for accurate AR prediction)
Platform: | Size: 4096 | Author: akiraY | Hits:
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