搜索资源列表
gm(1-1)
- 时间序列，非线性预测，灰色模型的程序，用于威布尔分布的参数估计。-Time series, nonlinear prediction, gray model program, parameter estimation for the Weibull distribution.
shijian
- 全部的时间序列模型，包括指数平滑法，趋势预测算法，AR预测模型，全部是调试好的代码-The aggregation of all the time series algorithm, including exponential smoothing, trend prediction, AR series model, are all good debugging code
ARMAfitting
- 时间序列分析，控制系统评价，ARMA模型拟合-Time series analysis, the control system evaluation, ARMA model fitting
ARmodel
- 利用时间序列处理方法AR模型进行信号谱估计，相对于传统的FFT的方法，分辨率更好，峰值更尖锐-Processing method using time series AR model spectrum estimation signal, relative to traditional methods of FFT resolution better, sharper peaks
ARMA
- ARMA模型基于时间序列分析和预测，ARMA matlab程序源代码-ARMA model based on time series analysis and forecasting, ARMA program matlab source code
arima
- 时间序列中，ARIMA（1,1,1）模型实例，通过计算得到这一过程的十步预测-Time series, (1,1,1) model instance ARIMA, obtained by calculating this process ten-step prediction
Fractal-interpolation-RS
- Fractal interpolation model index time series analysis and R_S _ Wanghong Yong
Intelligent-Prediction
- 质量非常好的一篇博士论文。冲击破坏过程十分复杂，很难建立精确的数学模型，但目前具有冲击危险性的矿井都采取了多种监测措施，可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础，在相空间重构出的动力学空间中分析其混沌特性，基于混沌预测理论，采用智能算法对多个冲击地压监测变量进行预测研究，并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destru
AR_with_remove
- 时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
ARMAmodel
- 时间序列ARMA建模，适用于各种ARMA建模，非常好用的通用程序-Time series ARMA modeling, suitable for all kinds of ARMA model, general program is very nice
gm_1_1
- 灰度 GM（1.1）模型：灰色系统其内部一部分信息已知，另一部分信息未知或不确定。对既含有已知信息又含有不确定信息的系统进行的预测，也就是对在一定范围内变化的、与时间序列有关的灰过程进行 预测。-Gray GM (1.1) model of grey system: the internal part of the information known, the other part of the information is unknown or uncertain. In which th
10
- 时间序列数据是指按照时间先后依次排列的观测值所构成的数列，如各年度的国内生产总值、人口数据等。研究时间序列数据模型处理的主要目的是进行数据预测，如预测下一年度的销售额、预测股票价格的走势等-Time series data is the number of columns in accordance with the chronological order of priority observations posed, such as gross domestic product each ye
grey
- to implement the grey forecasting model for time series prediction
ARburg
- 基于burg法的AR建模，根据信号序列x和阶次p计算AR模型参数和误差，返回模型参数及误差功率。方便定阶及功率谱计算。-Time series analysis of AR model, based on burg method，rectifiable the power of residual squares, easy to determine the model order and compute the power spectral density.
BP
- 通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。-through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term t
main_shijianxulie
- ARMA预测时间序列，基于单步预测的ARMA时间序列代码-ARMA model to predict time series, based on single-step prediction of time series ARMA model code
arma
- matlab code for ARMA model used in load forecasting using time series analysis
burg
- burg算法实现函数、时间序列估计AR模型系数-burg algorithm function, time-series AR model coefficients
DUOZHONGSHIJIANXULIEFANGFABIJIAO
- 关于时间序列的预测模型，本文件夹里包含多种时间序列预测的方法，有支持向量机、神经网络、改进的遗传神经网络法等。-On the prediction model of time series, this folder contains many kinds of time series forecasting methods, support vector machine, neural network, improved genetic neural network method.
siliconpredictNARXwith-pca-VS-kpca
- 用PCA加动态神经网络（DNN）与KPCA加动态神经网络（DNN）做铁水含硅量预测，适用于多种时间序列预测。-the prediction of silicon content with NARX model based on PCA and DNN Vs the prediction of silicon content with NARX model based on KPCA and DNN .This method also can use to the other time serie