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wavePredict
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance
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
是关于LS-SVMlab工具箱的使用说明方法介绍
- 是关于LS-SVMlab工具箱的使用说明方法介绍(英文版),以及一篇用此工具包实现时间序列预测的论文,希望对大家有所帮助。,LS-SVMlab toolbox on the instructions for use method descr iption (English), and use this tool kit to achieve a time series forecasting papers you want to help.
GARCH-Matlab
- 基于GARCH的预测例程,对解决存在异方差的时间序列很好。-GARCH forecasts based on routine, there is heteroscedasticity in solving the time series well.
zhb
- 基于云模型的短期电价预测。一种基于云模型的时间序列预测的新型算法。-Based on cloud model of short-term price forecasting. A cloud-based model of the new algorithm for time series prediction.
short-termloadforecastingwithchaostimeseries
- 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The
8
- 基于模型的时间序列数据挖掘---聚类和预测相关问题研究 ---- Clustering and forecasting issues related to model-based time-series data mining
svm-load-forecast
- 本文介绍了支持向量机进行电力负荷时间序列的预测-This article describes a support vector machine to power load time series prediction
fractal-predict-pdf
- 该文章从混沌和分形的关系出发,基于奇异吸引子的分形结构和时间序列的自仿射特性,提出了一种混沌时间序列的预测方法。采用迭代函数系统跟踪混沌的局部运动轨迹,由此确定统计意义上放射性能最优的时间序列段,并分局吸引子定力和拼贴定理建立预测模型。-This article from the chaos and fractal relationship starting, based on the characteristics of self-affine fractal structure and ti
Time-Series-and-white-noise
- 时间序列应用实例:时间序列分解,一次直线回归于预测检验-Application examples of the time series: time series decomposition, a linear regression prediction test
Wind-power-prediction-problem
- 利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测,并采用熵值取权法确定组合权重,引入自控机制,构建反馈,提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明,组合预测模型能减少各预测点较大误差的出现,而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
MATLAB
- MATLAB在时间序列建模预测及程序代码-MATLAB time series modeling and forecasting and program code
beiyesi
- 在经济领域中,运用时间序列模型来进行客观经济过程的描述和预测是一个非常重要的方法。然而在实际应用中,由于经济领域的特殊性,传统的频率统计方法进行经济时间序列模型分析往往会碰到很多困难。-In economic field,the time series models are important methods in describing and forecasting the objective economic process.However,when put them into appl
THE-TIME-SERIES
- 该文介绍了时间序列经典方法,ARMA,ARIMA,AR模型用于解决各种平稳预测问题,并且附上了相应的程序,方便读者运用-This paper introduces the classical time series methods, ARMA, ARIMA, AR model is used to solve a variety of stationary prediction problem, and attach the appropriate procedures to facilitat
matlab
- 基于matlab的时间序列建模与预测,时间序列分析法建模-Time series modeling and prediction matlab-based, time series analysis modeling
time-series-and-neural-network
- 时间序列与神经网络结合,进行中国居民用电量的预测。- Combined time series and neural network for Chinese residents electricity consumption forecast.
kmean.m
- rbf神经网络k均值聚类分析程序,时间序列预测方面应用。程序简洁易懂。-rbf neural network k-means clustering analysis procedures, time series forecasting applications. The program easier to understand.
AA
- EMD神经网络的时间序列预测,内容翔实,方法还可以。-EMD neural network time series prediction, informative, the method can be.
WNN-Time-Series-Prediction
- 一篇经典的学术论文,基于小波神经网络的时间序列预测,适合初学者学习-The Application of Wavelet Neural Network in Time Series Prediction and
热声不稳定主动控制的SVM时间序列预测模型
- 论文libsvm-3.1-[FarutoUltimate3.1Mcode](libsvm-3.1-[FarutoUltimate3.1Mcode])