Description: 此程序用提升法实现第二代小波变换 我用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）
-This program uses lifting to achieve the second generation wavelet transform me to a non integral order wavelet transform time-domain realization of the first series underwent positive transformation steps: split, predict, update inverse transform: Update, forecasting, consolidation only do layer (can be multi-layer, and each layer of the prediction and update equations are different) Platform: |
Size: 4096 |
Author:weilihua |
Hits:
Description: ICA算法可以将噪声信号分解为一系列独立的分量（ICs），这样就可以对各独立分量进行单独的研究和分析。首先叙述了柴油机噪声信号的特性。预测模型表明：发动机噪声信号满足ICA计算的要求。然后介绍了ICA模型的相关理论。举例说明ICA方法分离信号的有效性，以及ICA方法对小能量噪声的分离的有效性。连续小波变换来显示了各独立分量ICs在时频域内的特性。由采集信号分离得到噪声源信号可以作为发动机的理论预测和设计依据。-he ICA algorithm can be decomposed into a series of independent noise signal of the component (sysu), so that we can to each individual independent component analysis and research. First describes the characteristics of diesel engine noise signal. Forecasting model shows: the engine noise signal satisfy the requirements. ICA calculation Then introduces the related theoretical model of ICA. Illustrate the effectiveness of the method of ICA and separated signal to noise ICA method of separation of energy efficiency. Continuous wavelet transform to display the independent components in time-frequency domain sysu properties. By gathering signal noise signal can be obtained as the engine of the theoretical prediction and design basis. Platform: |
Size: 15193088 |
Author:王霞 |
Hits:
Description: the matlab code for support vector regression machine , including data pretreatment of information. It includes an example (time prediction series)that uses SVR Platform: |
Size: 17408 |
Author:masoud |
Hits:
Description: 灰色预测通过鉴别系统因素之间发展趋势的相异程度，即进行关联分析，并对原始数据进行生成处理来寻找系统变动的规律，生成有较强规律性的数据序列，然后建立相应的微分方程模型，从而预测事物未来发展趋势的状况。其用等时距观测到的反应预测对象特征的一系列数量值构造灰色预测模型，预测未来某一时刻的特征量，或达到某一特征量的时间。-Gray predicted by the degree of dissimilarity between the trends identification system factors, namely, correlation analysis, and generate raw data processing system to find the law changes, generate a strong regular data series, and then establish the appropriate differential equations model to predict the future development trend of the situation of things. When the number of its series with an equal response the observed object features predictive value of construction gray prediction model, to predict the future of the feature quantity at a time, or up to a certain amount of time feature. Platform: |
Size: 2048 |
Author:吴晓全 |
Hits:
Description: 灰色预测是一种对含有不确定因素的系统进行预测的方法。灰色预测通过鉴别系统因素之间发展趋势的相异程度，即进行关联分析，并对原始数据进行生成处理来寻找系统变动的规律，生成有较强规律性的数据序列，然后建立相应的微分方程模型，从而预测事物未来发展趋势的状况。其用等时距观测到的反应预测对象特征的一系列数量值构造灰色预测模型，预测未来某一时刻的特征量，或达到某一特征量的时间。-Grey prediction is a system containing uncertainties method to predict. Gray predicted by the degree of dissimilarity between the trends identification system factors, namely, correlation analysis, and generate raw data processing system to find the law changes, generate a strong regular data series, and then establish the appropriate differential equations model to predict the future development trend of the situation of things. When the number of its series with an equal response the observed object features predictive value of construction gray prediction model, to predict the future of the feature quantity at a time, or up to a certain amount of time feature. Platform: |
Size: 1024 |
Author:周雨奇 |
Hits:
Description: 适用于一系列的预测模型，已知部分数据，通过该程序可以预估一段时间后的数值(Applies to a series of prediction models, known part of the data, through which the program can predict the value after a period of time) Platform: |
Size: 1024 |
Author:yishuiweihan
|
Hits:
Description: ARIMA在单变量时间序列预测中的应用，以及时间序列预测中的数据平滑处理和自相关检测(The Application of ARIMA in Prediction of Univariate Time Series) Platform: |
Size: 876544 |
Author:王晓手 |
Hits:
Description: 采用高斯算法对高边坡变形时间序列进行预测(Prediction of High Slope Deformation Time Series Using Gauss Algorithms) Platform: |
Size: 3072 |
Author:leohjq |
Hits:
Description: 金融时间序列分析上证指数的GARCH模型R语言代码，可用于研究股票的波动性和预测。(The GARCH model R language code of the Shanghai Stock Exchange Index for financial time series analysis can be used to study the volatility and prediction of stocks.) Platform: |
Size: 286720 |
Author:时平似梦中 |
Hits:
Description: 基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code) Platform: |
Size: 17408 |
Author:云帆11 |
Hits:
Description: 混沌时间序列预测中，重构相空间采用小数据量法求取最大李雅普莫诺夫指数。(In the prediction of chaotic time series, the maximum lyapunov index is obtained by the method of small data quantity in the reconstructed phase space.) Platform: |
Size: 12288 |
Author:John618 |
Hits:
Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法(如非线性最小二乘法)进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is a theory and method to establish mathematical model by curve fitting and parameter estimation based on time series data obtained from systematic observation. It is usually carried out by curve fitting and parameter estimation methods (such as nonlinear least square method). Time series analysis is often used in macro-control of national economy, regional comprehensive development planning, enterprise management, market potential prediction, meteorological forecast, Hydrological Prediction, earthquake precursor prediction, crop pest and disease disaster prediction, environmental pollution control, ecological balance, astronomy and oceanography.) Platform: |
Size: 53313536 |
Author:Sandy_Zhao |
Hits:
Search - time series prediction