搜索资源列表
Volterra
- 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
Waveletnet
- 一个多输入多输出小波网络的源程序，用matlab编写，能够实现对时间序列数据的训练预测-a multi-input multi-output source wavelet network using Matlab preparation, right time to achieve the training sequence data forecast
arimapred
- ＡＲＩＭＡ matlab实现 ， 对时间序列进行预测分析-ARIMA matlab realize, prediction of time series analysis
0291512780
- 混沌序列发生器，一种随机序列的预测！时间序列的分析和预测！-Chaotic sequence generator, a random sequence of the forecast! Time series analysis and forecasting!
peizhun
- 互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有 -Mutual information matlab, chaotic ti
LS_SVM
- svm时间序列做预测,不错的论文希望对大家有帮助-SVM time series making projections, a good paper would like to help everyone
ARMA-Model-for-oil-price
- 数据挖掘中的重要算法：自回归滑动平均时间序列算法，用于时序数据挖掘-An important data mining algorithms: autoregressive moving average time series algorithm for time series data mining
Multi-componentsNeuralNetworkandTimeSeriesPredicti
- 利用神经网络预测时间序列，以太阳黑子和实际的转子故障信号为例，matlab编程-Using neural network time series prediction to sunspots and the actual rotor fault signal as an example, matlab programming
103244862matlabForcast
- 混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑-Chaotic time series prediction matlab routines, own, and hope that we will not stock
chaotic_time_series_analysis_and_prediction
- 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法。-Chaotic time series analysis and prediction toolbox, including the analysis of chaotic time series prediction in many ways and methods.
RBF
- 利用RBF进行时间序列的预测，可用于故障诊断中的参数估计和预测-Use of RBF for time series prediction can be used for fault diagnosis of parameters estimates and projections
Prediction_RBF
- matlab编写的基于混沌时间序列的神经网络预测，包括一步和多步预测算法。-matlab prepared chaotic time series based on the neural network to predict, including step and multi-step prediction algorithm.
ChaosToolbox
- 混沌时间序列分析与预测工具箱 该工具箱包括了混沌时间序列分析与预测的常用方法.-Chaotic time series analysis and prediction of the toolbox toolbox includes chaotic time series analysis and prediction of the commonly used methods.
OpenTSTOOL1_02
- 用于非线性时间序列分析的软件包。可用于计算：时间延迟重构，分形维数，互信息，Lyapunov指数，替代数据集，最近临点统计，回归时间，庞加莱截面，非线性预测-TSTOOL is a matlab software package for nonlinear time series analysis. TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov
ARMAsel_mis_irreg_4
- 时间序列的基本模型的参数估计和预测 以及和谱分析的方法的相关程序-Copyright (c) 2009, Piet M T Broersen All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the follo
svm-km
- 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。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这
net-timeserious
- 时间序列与神经网络结合的MATLAB程序-------不过一次只能预测一年的-Time Series and Neural Networks combination of MATLAB programs------- however, can only predict one-year ...
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
choas
- 对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作 了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewe
wavelet-HMM
- 基于小波域隐马尔可夫模型的时间序列分析_平滑_插值和预测-Based on Wavelet Domain Hidden Markov Model analysis of time series interpolation and forecasting _ smooth _