time series forecasting

Time Series Forecasting and Its Application in Telecommunications Prediction

时间序列预测新方法及其在电信预测中的应用

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Establishment and application of hydrological time series forecasting model based on KPCA_SVM

KPCA SVM水文时间序列预测模型的建立与应用

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Integrated Time Series Forecasting Method Based on Minimum Error Estimation and Its Application

基于最小误差估计的综合时间序列预测法及其应用

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Firstly, soil aspect, the non-balanced time series model for forecasting soil aquiferous capacity is built up by stochastic theory, and the BP network model is set up by MATLAB artificial neural network tool, the forecasting result is very good.

第一，关于土壤方面，利用随机理论建立了预测土壤含水量的非平稳时序模型，同时运用MATLAB人工神经网络工具箱建立了土壤含水量预测的BP网络模型，取得了较为满意的效果。

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Modified SVM and Its Application to Time Series Forecasting

改进SVM及其在时间序列数据预测中的应用

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On runoff time series forecasting, this method shows a good result, too. 3.

研究还表明，该方法在水文月径流时间序列的预测中同样有效。

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Redundant Haar wavelet transform and time series forecasting based on improved lifting scheme

基于提升方案的冗余Haar小波变换与时间序列预测

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Time Series Forecasting Methods Based on Pattern Matching and Its Applications in Metallurgical Processes

基于模式匹配的时间序列预测方法及在冶金过程中的应用

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Support vector regression based on grey system for time series forecasting

基于灰色系统的支持向量回归预测方法

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Financial Time Series Forecasting based on Nonlinear Tracking-Differentiator

基于非线性跟踪&微分器的金融时间序列预测

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Although for financial time series forecasting methods, as a result of neural network function as a universal approximator of arbitrary precision can be any non-linear function approximation and dynamic system, is a highly non-linear a powerful tool for object modeling.

虽然用于金融时间序列的预测方法很多，但由于神经网络作为一种通用函数逼近器可以以任意精度近似任意的非线性函数和动态系统，是高度非线性对象建模的有力工具。

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Short-term traffic flow time series forecasting based on wavelet analyses-fuzzy Markov prediction model

短时交通量时间序列的小波分析-模糊马尔柯夫预测方法

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Load time series forecasting based on additive fuzzy systems

基于可加性模糊系统的负荷时间序列预测

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New time series forecasting approach for complex systems based on series decomposing

基于序列分解的复杂系统的时序预测方法

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Study and application of genetic-support vector machine for nonlinear displacement time series forecasting

非线性位移时间序列预测的进化-支持向量机方法及应用

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The Research on Environmental Time Series Forecasting Method Based on Soft Computation Technique

基于软计算技术的环境时序预测方法研究

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Independent Component Ordering in Time Series Forecasting

基于时间序列预测的独立分量排序

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Support Vector Machine Applied to Air Pollutant Time Series Forecasting

支持向量机应用于大气污染物时间序列预测

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Time Series Forecasting Model Based on Neural Network with Multi-rule& Real-time Training

基于多规则实时学习神经网络的时间序列预测模型

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Chaotic time series forecasting based on dynamic recurrent neural networks model

基于动态递归神经网络模型的混沌时间序列预测

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Influence analysis and self-adaptive optimization of support vector machine time series forecasting model parameters

支持向量机时间序列预测模型的参数影响分析与自适应优化

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Wavelet based on the integration of chaos and chaotic time series forecasting methods is also put forward.

提出了基于小波与混沌集成的混沌时间序列的预测方法。

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The study methods this paper proposes can also be applied in others financial securities time series forecasting.

本文提出的研究方法亦可应用于其他金融证券时间序列预测中。

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Multivariable Time Series Forecasting Model Based on Recurrent Composite BP Neural Networks and Its Application

基于递推合成BP网络的多变量时间序列预测模型

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A time series analysis forecasting models for planthoppers and wolf spiders population densities in rice field

稻田飞虱、狼蛛种群密度动态数据时间序列预报模型

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Study on Non Linear Time Series Forecasting Approaches of Economic Growth

经济增长非线性时序预测方法研究

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Based on achievement of comprehensive time series forecasting and neural network prediction, the paper proposed price forecasting model of mixed time series based on support vector machines.

通过综合时序预测和神经网络预测的研究成果，提出基于改进支持向量机的时序混合电价预测模型。

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Gaussian Wavelet SVM and Its Applications to Chaotic Time Series Forecasting

Gaussian小波SVM及其混沌时间序列预测

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Research on Chaotic Time Series Forecasting and Chaotic Optimization

混沌预测与混沌优化理论与算法研究

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In this paper, the maximum entropy of the real time forecasting method by innovation of extrapolation for measurement series is discussed.

讨论了测量序列插值新息实时预报方法的极大熵特性。

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