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A-hybrid-least-squares
- A hybrid least squares support vector machines and GMDH approach for river fl ow forecasting-This paper proposes a novel hybrid forecasting model, which combines the group method of data handling (GMDH) and the least squares supp
ARIMA
- 时间序列预测ARIMA模型，这是一种基于风速数据的预测程序。-ARIMA time series forecasting model, which is a program based on the forecast wind speed data.
ARIMA-model-algorithm
- 。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
ARIMA-model-algorithm
- 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
application_of_ARIMA
- 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
arima
- 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
ARMA
- Using ARIMA for forecasting
ARIMAyuce000
- 基于ARIMA时间序列模型对风速进行拟合，预测短时间的风速-Based on ARIMA time series model fitting for wind speed forecasting wind speed for a short period of time
arima_forecast
- 基于ARIMA方法对数据进行预测分析，判断出预测趋势-Based on ARIMA forecasting methods for data analysis to determine the predicted trend
time-series-forecasting-keras-master
- 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.)
ARIMA预测
- ARIMA整合移动平均自回归模型，时间序列预测分析方法之一，可用于股价预测。(ARIMA integrates moving average autoregressive model and time series forecasting analysis method, which can be used for stock price forecasting.)