搜索资源列表
AR(5)
- 利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。-use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results.
RPF
- 用MATLAC做的非线性时间序列预测和平滑,可以用来做非线性模型的预测和估计
GM11
- 多年前写的一个灰色系统－时间序列预测模型，学习灰色系统的可以参考，内有测试数据，程序可执行。-Many years ago written by a gray system- time-series forecasting model, learning can refer to the gray system with a test data, the program executable.
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
time_seris
- 时间序列预测算法。支持5种常见的算法 移动平均 非线性回归 指数平滑等-ar, ardemo ma
Chaotic_time_series_modeling_and_forecasting
- 此文档可以用来帮助研究混沌时间序列的建模与预测-This document can be used to support the research on chaotic time series modeling and forecasting
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
forecast
- 预测算法源码,时间序列，回归算法，核心代码-forecast
GM
- 数学建模模型时间序列灰色预测模型的C语言实现-Mathematical modeling of time-series model gray prediction model of the C language
kalmanFilter
- 卡尔曼滤波程序用于时间序列预测，结构简单程序易懂-kalman filter for prediction
ARIMA
- ARM 用于数学建模的时间序列 预测问题 -ARM used for mathematical modeling time series prediction problem
time-series
- 时间序列预测模型，适合各种数据预测分析，对于数模爱好者十分好用-Time series prediction model for a variety of data to predict, very easy to use for digital-to-analog lovers
gm11
- 灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验-Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection
MA
- 经济时间序列预测代码,简单适合初学者。有AIC寻找阶数。-Simple for beginners
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.
数学建模思想方法大全及方法适用范围
- 时间序列预测法是一种定量分析方法，它是在时间序列变量分析的基础上， 运用一定的数学方法建立预测模型，使时间趋势向外延伸，从而预测未来市场的 发展变化趋势，确定变量预测值。(Time series forecasting method is a quantitative analysis method. It is based on the analysis of time series variables,A mathematical model is used to establish a
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
时间序列
- 利用MATLAB程序实现时间序列的预测功能(Using MATLAB program to achieve prediction function of time series.)
Python时间序列分析源代码
- 资源‘Python时间序列分析源代码’，是学习时间序列分析的实战代码；系统解释核心程序版本是python3.7.4,管理环境是Anaconda3,这个Project是在IDE开发环境PyCharm2019.1.1(Professional Editon)中建立的，经debug后完全正常运行，运行结果包括时间序列分析预测的7种方法。
scmt.m
- 用PSO-BPNN算法对时间序列数据进行拟合并预测未来一段时间数据(Using pso-bpnn algorithm to predict the future time series data)