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在VC中使用MATLABC++函数库
- MATLAB广泛应用于线性代数、自动控制理论、数理统计、数字信号处理、时间序列分析、动态系统仿真等领域。因此如果在VC中对MATLAB进行调用将大大减少编程的工作量、保证程序的准确性，并且继承了VC++强大的功能，提高开发效率，-MATLAB widely used in linear algebra, automatic control theory, mathematical statistics, digital signal processing, time series analysi
结果分析演示系统
- 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC
value_series_plugin-src-2.1.tar
- 时间序列分析插件,集成了众多 时间序列分析算法,绝对实用!-plug-time series analysis, integrating a number of time series analysis algorithm, absolutely practical!
arimalik
- 用对数似然估计法求解时间序列分析中的ARIMA模型的matlab源代码-with several likelihood estimation method Time Series Analysis of the ARIMA model Matlab source code
time-series-analysis
- 时间序列分析的工具箱,里面有html说明-time series analysis toolkit, which has html note
SGAProToolboxVer
- 关于时间序列分析的matlab程序代码，对原有的工具箱的补充-on time series analysis Matlab code, the original supplementary Toolbox
datamining02
- 数据挖掘及时间序列分析在NIDS中的应用 现有检测方法及其不足 研究目标 研究意义 研究方案 工作进度-data mining and time series analysis in NIDS of existing methods and the lack of objective research studies Significance program progress
DFA_soft
- 消除趋势分析（DFA）目前已经成为时间序列分析的重要方法，该软件代码具有该领域的权威性-eliminating trend analysis (DFA) has now become a time-series analysis of the important ways, The software code with the authority in the field
spectrum
- 功能： 功率谱分析 算法参考文献：黄嘉佑，《气象时间序列分析》-functions : power spectral analysis algorithm References : Geophysics, "meteorological time series analysis"
RS分形分析
- 用matlab进行分析分析，预测非平稳时间序列的变化趋势。(Matlab is used to analyze and predict the changing trend of non-stationary time series.)
小波分解与重构
- 利用小波分析对时间序列进行分解，提出主要变化模式，进行重构(The wavelet analysis is used to decompose the time series, and the main change modes are put forward to reconstruct the time series)
171011 (1)
- 金融时间序列R语言代码：描述性统计分析、GARCH模型代码等(R language code of financial time series: descr iptive statistical analysis, GARCH model code, etc.)
DCCA
- 多重分形去趋势交叉相关性分析，分析时间序列，如股市变动价格，PM2.5数据，外币汇率等(Multifractal detrending cross correlation analysis and analysis of time series, such as stock market variable price, PM2.5 data, foreign currency exchange rate, etc.)
小波分析
- 小波分析，用于时间序列的周期性分析，更换函数即可使用(Wavelet analysis is used for periodic analysis of time series, and can be used to replace functions.)
ENVI_HANTS_Tool
- NDVI时间序列谐波分析法(Harmonic Analysis of NDVI Time-Series)（简称Hants ）对时间序列数据进行平滑。该方法是一种新的物候分析方法，可用于定量化的监测植被动态变化。其核心算法是傅里叶变换和最小二乘法拟合, 即把时间波谱数据分解成许多不同频率的正弦曲线和余弦曲线，从中选取若干个能够反映时间序列特征的曲线进行叠加，以达到时间序列数据的重建目的。(The NDVI Time Series Harmonic Analysis of NDVI Time Ser
多重分形去趋势波动分析模型
- 用于不同时间序列的重分形交叉相关性分析的多重分形去趋势交叉相关模型，整合了多重分形去趋势交叉相关系数于其中(A multifractal de-trend cross-correlation model for multifractal cross-correlation analysis of different time series is proposed, in which multifractal de-trend cross-correlation coefficients are
AutoSSA-matlab_22102007
- SSA奇异谱分析MATLAB源码，可用于遥感影像的时间序列分析。(SSA singular spectrum analysis MATLAB source code)
神经网络时间序列预测
- 利用python 构造人工神经网络 做时间序列预测分析(Time series prediction based on artificial neural network)
python实现分段线性表示
- 按照自顶向下和自底向上分析时间序列趋势和转折点(Found the turning point from bottom to the top and from top to the bottom)
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.)