搜索资源列表
zhishuyc
- 用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
bestdimensionm
- 在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series bas
s23uan
- 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
matlabForcast
- matlab时间序列预测，本程序采用遗忘因子算法的方式实现-Matlab time series prediction that the adoption of the forgotten factor algorithm in a way
GM11_source_code
- 这个程序主要是利用G（1，1）方法进行时间序列预测，可广泛用于各预测工程领域。-This is the prediction program being used for predicting time series datum, and may used to many application area corresponding with time series.
CCAF
- 时间序列数据的相关分析和未来变化预测（如降水、气温）-Correlation analysis of time series data and predict the future (such as precipitation, temperature)
svm_time
- 做时间序列预测的svm程序,matlab编的，多种时间序列预测模型-Time series prediction svm program, matlab code, and a variety of time-series forecasting model
vol
- matlab金融时间序列ARMA建模 结果分析： 1.预测结果从第四步开始，预测值不再改变，因为ARMA是收敛的回归模型，而我们做的工作并不是模拟，所以，当预测步长足够长时，它最终将收敛于一个不变得预测值 2.既然预测值一样，为什么还原为成交量后，在置信区间下预测的最大值与预测均值的差比预测均值与最小值的差要大？因为将对数差分值还原时，需用到的指数函数为凹函数-matlab Financial Time Series the the ARMA modeling results Ana
power
- 基于平移不变小波变换的电力时间序列预测，结合多层感知器（MLP）神经网络， 预测精度很好。-Electricity demand time-series forecasting program Based on shift-invariant wavelet transform features
8289671mr
- AR模型，主要用于时间序列的建模和预测。能够解决平稳时间序列问题-AR model ,which is quite popular in sovling time series
Time-series-analysis
- 一个完整的平稳时间序列的分析，建模以及预测例子，过程详细。-Stationary time series analysis, modeling and forecasting
RBF01
- 基于时间序列相空间重构和RBF神经网络的短时交通流量预测学习方法-Based on time series phase space reconstruction and RBF neural network method of short-term traffic flow prediction study
DayInModel
- 日内模型，通过时间序列分析模型预测日内高低点-Day-in trading system
chapter15
- 基于SVM神经网络的信息化时间序列回归预测问题-Based on the SVM neural network informationization time series regression prediction problem
sim_ARMA(p-q)
- 时间序列移动平滑方法ARMA(p,q)，可用于金融领域的时间序列数据预测-time series method ARMA(p,q),which is used for prediction
yuce
- 该程序为：持续法、基于最小二乘的线性回归、时间序列以及灰色理论等预测方法对风电功率进行超短期预测-Ultra- short- term prediction of wind power
ARMA-model-and-random-Walk-model
- 使用ARMA模型进行时间序列数据进行建模并预测-ARMA model is used to model and predict the time series data
R
- 金融时间序列分析上证指数的GARCH模型R语言代码，可用于研究股票的波动性和预测。(The GARCH model R language code of the Shanghai Stock Exchange Index for financial time series analysis can be used to study the volatility and prediction of stocks.)