搜索资源列表
NonlinearTimeSeries
- 非线性时间序列分析第二版，英文原版。pdf格式的。很精典的一本书。-Nonlinear Time Series Analysis II
pmcmcsourcecode
- Inference for Nonlinear Epidemiological Models Using Genealogies and Time Series, pMCMC code in Matlab
SVM
- 实现时间序列预测，相空间重构的方法可以对时间序列做一一对应的映射，效果非常的好-Realize the time series prediction, phase space reconstruction method can do for time series one-to-one mapping,, the effect is very good
time
- 系统的设计电路是以 AT89S52 单片机为核心控制器，其外围电路主要包括时钟模块、 键盘模块、液晶显示模块和跑表。这种电子钟不仅具有了一般电子钟的基本功能，并且具有以下功能：闹钟时间设置，显示年月日，跑表,对重要日子倒计时,温度监测等一系列功能。-System design is based on AT89S52 microcontroller core circuit controller, the peripheral circuit includes a clock module, ke
FCM_synthetic_control.data
- 1. Synthetic Control Chart Time Series合成控制图时间序列 a) 数据集描述：该数据集包含600个实例，属性个数为6，已知分为6类。 b) 参数选择： 聚类数为6 加权指数m=2 最大迭代次数为1000，隶属度最小变化量1e-5 -1. Synthetic Control Chart Time Series Synthetic Control Chart Time sequence
ANN5
- time series prediction using neural networks
Regime_detection3_2
- Sequential Regime Shift Detection Software: The software is designed to automatically detect statistically significant shifts in the mean level and the magnitude of fluctuations in time series. It is written in Visual Basic for Application (VBA) fo
ARMA
- ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析-ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi
Application-of-optimized-Elman--
- 对量子粒子群优化(QPSO) 算法进行研究，提出了自适应量子粒子群优化(Adaptive QPSO) 算法，用于优化Elman 神经 网络的参数，改进了Elman 神经网络的泛化能力。利用网络流量时间序列数据进行预测，实验结果表明，采用AQPSO 算法优 化获得的Elman 神经网络模型不但具有较强的泛化能力，而且具有良好的稳定性，在网络流量时间序列数据的预测中具有 一定的实用价值-Quantum-behaved particle swarm optimization (QPSO)
timeseriesanalyzer
- Matlab下面的时间序列分析程序， 将小波分析与神经网路相结合，实现对未来的预测。-Matlab time series analyzer using network and wavelet
ARIMA
- autoregressive integrated moving average (ARIMA) time series java GUI using Netbeans IDE
predict
- 时间序列模型，进行预测，是目前较流行且准确的一个方法，里面包含了2个相关方面的ppt，可供参考学习。-Time series model, forecasting, is a popular and accurate a method, there were two related PPT, available for reference to study.
LSM
- 该文档是最小二乘法进行时间序列预测使用的总结，针对不同的模型，而且还有相应的matlab实现代码。-This document is the least square method for time series prediction using summary, in view of the different model, and the corresponding matlab code.
ARMA
- matlab关于时间序列分析的ma模型的有关程序-A matlab project about TIME SERIES ANALYSIS forecasting and control
SlidingWindow
- 自己写的关于时间序列滑动窗口分段算法，能输出分段点的位置下标。-Wrote on their own time series sliding window segmentation algorithm, can point out the location of the next sub-standard.
TimeSeriesOuterCheck
- 时间序列的全序列异常检测算法。自己写的，做时间序列论文用的。-Sequence of time series anomaly detection algorithm. Their written papers to do with the time series
PIPLink
- 基于重要点的时间序列分段算法，时间序列的经典分段算法之一。欢迎有需要的朋友下载。-Important points based on time series segmentation algorithm, time series of the classic segmentation algorithms. Welcome to a friend in need to download.
GM-network
- 灰色神经网络是有效的时间序列预测方法，本文以订单变化为例分析神经网络功能-Gray neural network is effective time series prediction method, this paper to change order as an example, this paper analyzes the function neural network
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
RTisean_3.0.14
- A statistical package to use TISEAN (Time Series Analisys) code with R.