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Description: doarima.m MATLAB script to do an ARIMA(p,d,q) analysis where d is set but P and q can be vectors of values you want to try. It produces AIC and FPE (final prediction error) values for comparing models. The AIC is different than the one computed by S+, but they both minimize on the same model for the arma22.dat simulated data.
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Size: 2048 |
Author: timyscralem |
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Description: 这里面有5个程序，一是sarima预测的，2是HHT变换计算的主程序，3是计算平均周期的，4是人工神经网络的主程序，5是计算lyapunuv数字的主程序，计算域与eemd分解有关的股市预测方面的主程序-farcast mainprogram
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Size: 2048 |
Author: 何凯 |
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Description: 该文介绍了时间序列经典方法，ARMA,ARIMA,AR模型用于解决各种平稳预测问题，并且附上了相应的程序，方便读者运用-This paper introduces the classical time series methods, ARMA, ARIMA, AR model is used to solve a variety of stationary prediction problem, and attach the appropriate procedures to facilitate the use of the reader
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Size: 118784 |
Author: 梁毅灵 |
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Description: After trying tones of codes for ARIMA model parameter estimation and prediction, I found this code could be the best one that fit my purpose of predicting temperature. I would like to share it to you. Thanks
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Size: 8192 |
Author: biencan |
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Description: 建立自回归滑动平均时间序列模型ARIMA,用来预测未来数据值-time series model-ARIMA to predict the future value
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Size: 1024 |
Author: 韦跃 |
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Description: 时间序列分析（ARIMA）建模预测的matlab代码-The matlab code of Time series analysis (ARIMA) model to predict
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Size: 8192 |
Author: dai |
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Description: ARIMA与RBF复合模型在设备运行状态趋势预测中的应用-ARIMA and RBF complex model equipment running trend prediction
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Size: 232448 |
Author: 陶喆 |
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Description: 用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测-Sequence features for time series prediction, including the description of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA forecasting
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Size: 7168 |
Author: creasson |
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Description: 该代码是MATLAB写成的m文件及GUI文件，附带实例数据，用于ARIMA预测模型的应用及对该模型的研究-The code is written in MATLAB m-files and GUI files, with the instance data, research and application of the model of ARIMA forecasting model for
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Size: 36864 |
Author: 肖胜强 |
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Description: 数据挖掘
人工智能
时间序列预测模型
matlab学习-Data Mining
Artificial Intelligence
Time series forecasting model
matlab learning
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Size: 12288 |
Author: guoyishuai |
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Description: ARIMA建模，主要包括平稳化、模式识别、模型定阶几个步骤-ARIMA modeling, including smoothing, pattern recognition, model order several steps
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Size: 2048 |
Author: yang |
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Description: Using ARIMA for forecasting
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Size: 3072 |
Author: mmee83@gmail.com |
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Description: 利用EVIEWS软件进行时间序列的预测，预测方法更加简单易懂，精度也行度更高-forecasting ARIMA by EVIEWS
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Size: 5120 |
Author: 刘真 |
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Description: ARIMA modeling and estimation
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Size: 2048 |
Author: marjan |
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Description: ARIMA模型对化工厂生产浓度进行十步预测。内容简洁使用方便。-ARIMA model for chemical production concentration ten-step prediction. Concise and easy to use.
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Size: 1024 |
Author: 李云 |
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Description: partial autocorrelation plot to decide the order of arima model
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Size: 1024 |
Author: gao |
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Description: 利用加速度信号测量位移是油田抽油井光杆位移测量的主要方法 而加速度信号的随机噪声和趋势项是影响
测量精度的主要因素 本文提出了一种基于学习的实时消噪和剔除趋势项方法 学习时先获取一段时间的加速度信
号 再通过时间序列分析技术得出 ARIMA 模型及其参数 最后基于 FFT 变换的 Rife-Jane 频率估计方法求出加速度
信号的周期 在线实时消噪和剔除趋势项方法是基于学习阶段所得模型参数 运用卡尔曼滤波技术消除加速度信号
随机噪声 按周期两次积分得到光杆位移 用加窗递推最小二乘法在线消除趋势项 通过抽油机半实物仿真平台测试
和分析加速度信号 结果表明 该方法有效地去除了加速度信号中的噪声和趋势项 极大地提高了位移的测量精度-Acceleration signal based approach is a main approach used to measure the displacement of polish rod in the
oilfield pumping wells. In this study a learning based real time noise immunization and trend term elimination approach is
proposed. During the learning acceleration signal within a period of time are firstly acquired then corresponding ARIMA
model and its parameters are derived finally the period of the acceleration signal is computed by using FFT transformation
and Rife Jane frequency estimation. The proposed approach bases the model obtained parameters uses Kalman filtering
techniques to remove random noise computes the polish rod displacement by a quadratic integration of the period and
eliminates the trend term by windowed recursive least squares method. Eventually an experiment over a pumping unit
hardware in the loop plant is carried out which indicates that the proposed approach can effectively eliminate noise and trend
term and obviously improve the measuring pre
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Size: 1443840 |
Author: lantian |
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Description: 利用ARIMA方法对时间序列进行短期预测，适合初学者。-To predict the time series by using the ARIMA method, suitable for beginners.
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Size: 4096 |
Author: zshqlh |
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Description: Arima-Rioworks HDAMB - AUX LOOP command does not raise AUX IRQ.
-Arima-Rioworks HDAMB - AUX LOOP command does not raise AUX IRQ.
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Size: 5120 |
Author: lmhervue |
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Description: arima建模，用过计算aic获得最佳的p、q值，建立arima模型对时间序列进行预测-arima forcast program
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Size: 1024 |
Author: jamon |
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