搜索资源列表
matlabARMA
- 在matlab下时间序列分析ARMA模型的建立和预测程序ARMA-Under the matlab time series analysis and forecasting ARMA model procedures for ARMA
AR
- 使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
gasanfis
- 使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series
timeseries
- sas 时间序列，用于对内蒙古自治区第三产业增加值的预测用程序。很精简、基本一看就懂。推广性好。-sas time series, for the added value of tertiary industry in Inner Mongolia Autonomous Region of the forecasting process. Very simple and basic one look to understand. To promote good.
zhishu
- 指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。-Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of
time_series
- 用时间序列法进行预测，模型为ARMI模型-Time series method used to predict, model for model ARMI
chaos
- 自己做的混沌时间序列分许的PPT，简单实用，希望对你有所帮助。-Their own points of chaotic time series Hsu' s PPT, simple, practical, and they hope to help you.
svm
- 支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科-Support vector machine
WaveDis4
- 小波分解与重构的实例，可用于时间序列分解和预测！-Wavelet decomposition and reconstruction of the examples, can be used for time series decomposition and forecasting!
ARtesting
- 在MATLAB平台，利用AR模型对时间序列进行预测，采用ar()函数编程-In the MATLAB platform, the use of AR time series model to predict, using ar () function programming
ElmanRnn
- Elman递归神经网络对时间序列的预测代码，做的效果还行，仅供参考-Elman recurrent neural network for time series prediction code, do the results were OK for reference purposes only
wnn_forcast
- 用小波神经网络变换对时间序列信号进行预测，并做了测试，效果很好，请参考-Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to
Based_on_the_maximum_Lyapunov_exponent_of_the_chao
- 基于最大李亚普诺夫指数的改进混沌时间序列预测的方法-Based on the maximum Lyapunov exponent of the improved chaotic time series prediction methods
TSregressionforecasting
- 时间序列工具箱，包含大量回归与预测函数以及实例-Time Series Regression and Forecasting
simulation
- 时间序列的预测及中间状态，包括误差检测以及其和中间状态的关系-representation of status
4Chaos_Prediction
- 关于混沌时间序列的预测工具箱，可以方便各行各业人员预测-chaotic predictability
suijixingshijianxulieyuce
- 随机型时间序列预测法PPT讲义，讲解比较详细，需要的朋友可以-Then type time series forecasting method PPT handouts to explain in more detail, you need friends can see
ARMA时间序列预测工具箱
- 可以和matlab联合应用的时间arma预测工具箱，可对时间序列进行预测，以及对经典时间序列谱估计算法进行仿真。包括图形界面和说明文档。
spark-timeSeries
- 采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distribut
BP神经网络预测算法MATLAB源程序
- BP神经网络预测算法MATLAB源程序，用于混沌时间序列预测。(BP neural network prediction algorithm MATLAB source code for chaotic time series prediction.)