搜索资源列表
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- 基于pso算法在股票短期预测上应用，建立在arma模型的基础上-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models
ARMA_Analysis
- ARMA模型的构建、预测、示例数据及详细讲解-ARMA modeling forecasting data
WSForecast1.1
- ARMA预测算法，是C++的代码，很不错-ARMA prediction algorithm is the C++ code, very good
ARMAcprogram
- 这是一个可对时间序列实现ARMA拟合的c程序。-This is a fitting time series to achieve the c ARMA process.
ARMA
- 现代信号处理的基本模型，能够有效的处理信号-Modern signal processing basic model, to be able to effectively handle the signal
ARMApq
- 指定ARMA阶数p，q值 估计ARMA模型的参数值-ARMA order of the specified p, q value estimated ARMA model parameters
SVDTLS
- SVDTLS仿真 已知参数下用最小二乘法估计观测数据的ARMA模型的AR参数-SVDTLS simulation parameters are known observational data with least square method to estimate the AR parameters of ARMA model
iead2-eser2
- Exercise on kalman filter with model AR, ARMA, ecc.
ARMA1_shiyan
- 时间序列实验 ARMA模型的EVIEWS操作-arma MODEL EVIEWS AND DOCUMENTS
ARMA2_SHIYAN
- ARMA 时间序列建模、预测、检验和说明-ARMA MODELS IN EVIEWS AND DOCUMENTS
ARIMA3
- arma模型的单位根检验、ADF检验、平稳化处理等-ARMA MODELS IN EVIEWS AND DOCUMENTS
matlab_code_for_arma_spectrum_estimation
- arma模型的matlab谱估计实现，较详细-arma model spectrum estimation matlab implementation
Matlab_code_for_ARMA_model
- arma模型的matlab实现，word格式-arma model matlab implementation
AR
- ARMA预测程序源代码，经二阶差分后对油价进行预测的实例。-a program to predict the price of oil， using ARMA module
analyse-modale-experemental
- ARMA methode pour faire l analyse modal
ARMA
- 窄带、宽带ARMA模型的N、p、信噪比等不同时对谱估计的分析-Narrowband, broadband ARMA model N, p, N, which are not at the same time spectral analysis
ARMA11
- Implementation of ARMA Proess of sample data.
a
- time series prediction codes. for arma and ar modelling
vtf
- 基于pso算法在股票短期预测上应用，建立在arma模型的基础上-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models-Pso algorithm based on short-term forecasts in the stock application, built on the model based on the arma-Pso al
ARMA-with-NExT
- 先用NEXT对进行出来了，消除噪声的影响，然后再用ARMA进行处理。-NEXT carried out on first use, and eliminate the noise, and then use the ARMA processing.