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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
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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 _
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Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new
method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescr ipt
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用时间序列和小波分析相互结合的基于小波的时间序列预测方法,该方法比较可靠,欢迎大家下载。-Wavelet analysis of time series and combined with each other in the time series prediction method based on wavelet, this method is more reliable, welcome to download.
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A fractional Fourier transform (FrFT) based estimation
method is introduced in this paper to analyze the
long range dependence (LRD) in time series. The degree of
LRD can be characterized by the Hurst parameter. The FrFTbased
estimation of Hu
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利用多因素小波变换和多变量时间序列模型的日前电价预测-Prediction of a day ahead electricity price using multivariate wavelet transform and multivariate time series model
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时间序列数据分析中的梅林变换工具,插值与拟合的matlab实现,Gabor小波变换与PCA的人脸识别代码。- Time series data analysis Mellin transform tool, Interpolation and fitting matlab implementation, Gabor wavelet transform and PCA face recognition code.
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基于小波多分辨率分析的思想,提出一种降低混沌信号噪声的方法。首先对一个混沌时间序列进行小波分析,得到信
号在各个尺度上的不同特性;再对各个高频细节信号进行二次小波去噪;最后对二次小波去噪后的信号进行线性叠加,达到
提取真实信号的目的(Based on the idea of wavelet multiresolution analysis, a method to reduce the noise of chaotic signal is proposed. First, the wavel
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