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11下载：
基于MATLAB的ARIMA模型的源代码。ARIMA模型是自回归滑动平均求和模型，是时间序列分析模型，可以用于时间序列的预测。该代码实现了ARIMA模型的建模和谱分析过程-The ARIMA model based on MATLAB source code. ARIMA model is the sum of autoregressive moving average model is time series analysis models, can be used for time seri
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hybrid arima-nn prediction model
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。统计预测方法建立在严密
的数学理论基础之上，具有结构简单、预测速度快、方便操作等特点，相对于其
他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用
-. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative
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在目前统计预测中，存在着非平稳序列分析效果差、多步预测误差较大、缺
乏系统的软件实现等问题。本文针对该类问题进行研究，提出了NARIMA方法，
该方法以ARIMA模型为基础，有效结合了游程平稳检验方法、差分平稳处理方法
、线性最小方差预测算法等，解决了传统统计预测方法中存在的上述问题
-In the current statistical forecast, there is a differential effect of non-stationary sequence ana
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ARIMA模型在数学建模中的使用。具有很好的预测效果。可以一试。-ARIMA model is the use of mathematical modeling. Has a good prediction. Can try.
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doarima.m MATLAB scr ipt 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
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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 facilitat
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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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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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时间序列中，ARIMA（1,1,1）模型实例，通过计算得到这一过程的十步预测-Time series, (1,1,1) model instance ARIMA, obtained by calculating this process ten-step prediction
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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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是一个风速预测模型。适合初学者对ARIMA的理解(It is a wind speed prediction model. Suitable for beginners to understand ARIMA
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采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distribut
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通过一段ARIMA模型程序来预测股票上证指数(Prediction of Shanghai Stock Index by an ARIMA Model Program)
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基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
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用于风电场区域的风速多步预测问题。模型基于ARIMA，通过数据预处理、进行建模，并使用我国山东省两个风电场的历史风速数据进行测试和分析。结果表明，模型的统计误差小。(Multi-step wind speed prediction in wind farm area. The model is based on ARIMA, through data preprocessing, modeling, and using historical wind speed data of two wind
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使用LSTM-ARIMA模型进行混合预测，ARIMA做线性部分的预测，LSTM做非线性部分(LSTM-ARIMA model is used for mixed prediction, ARIMA for linear prediction and LSTM for nonlinear prediction)
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