搜索资源列表
jengen_V7.1
- 人脸识别中的光照处理方法,时间序列数据分析中的梅林变换工具,可以广泛的应用于数据预测及数据分析。- Face Recognition light treatment method, Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data.
non_guiyi
- 改进的BP神经网络,因为目的是针对单一的时间序列进行预测,所以该算法没有进行归一化处理,经检验具有还不错的效果,并且附上了对序列进行处理以改变其维度的完整代码。-The improved BP neural network, because the purpose is for single time series forecast, so no normalized processing, the algorithm has a good effect after inspection, an
lailan_v75
- 时间序列数据分析中的梅林变换工具,相关分析过程的matlab方法,阐述了负荷预测的应用研究。- Time series data analysis Mellin transform tool, Correlation analysis process matlab method, It describes the application of load forecasting.
ANN
- 通过BPNN神经网络预测时间序列值,已经调试好的程序,-BPneural network
hingfie_v73
- 时间序列数据分析中的梅林变换工具,可以广泛的应用于数据预测及数据分析,包含位置式PID算法、积分分离式PID。- Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, It contains positional PID algorithm, integral separate PID.
bouking
- 是一种双隐层反向传播神经网络,LZ复杂度反映的是一个时间序列中,可以广泛的应用于数据预测及数据分析。- Is a two hidden layer back propagation neural network, LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data.
narx
- 利用动态神经网络时间序列来预测研究——基于MATLAB的narx的实现-Dynamic neural network time series prediction- MATLAB-based implementation of narx
punmei_v19
- 时间序列数据分析中的梅林变换工具,供做算法研究人员参考,可以广泛的应用于数据预测及数据分析。- Time series data analysis Mellin transform tool, Algorithm for researchers to do reference, Can be widely used in data analysis and forecast data.
zzz
- 时间序列线性二次移动平均法预测法,用于掌握一次、二次、三次指数模型的求解方法-Time series linear quadratic moving average forecasting method, used to master once, twice, three times the method of calculating the index model
MELP
- 文基于LPC的自适应前后向量化技术,提出了一种可变速率的混合激励线性预测MELP语音编码算法.该算法中,采用当前语音帧(前向LPC)或前面某帧已合成语音帧(后向LPC)进行线性预测,当采用后向LPC时,只需传输时间序列编码,故减少了LPC系数的平均编码比特.计算机模拟表明,该算法与标准MELP算法合成的语音质量相当,但显著减少了LPC的传输带宽,从而明显降低了MELP平均编码速率.-VARIABLE-RATE MELP SPEECH CODER BASED ON ADAPTIVE FORWARD
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构,得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性,对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测,对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
tengmiu
- LZ复杂度反映的是一个时间序列中,可以广泛的应用于数据预测及数据分析,插值与拟合,解方程,数据分析。- LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data, Interpolation and fitting, solution of equations, data analysis.
ARMA-model-and-random-Walk-model
- 使用ARMA模型进行时间序列数据进行建模并预测-ARMA model is used to model and predict the time series data
huiseBP
- 实现时间序列的灰色神经网络预测,可以参考-gery bp network
laiqen
- 使用matlab实现智能预测控制算法,LZ复杂度反映的是一个时间序列中,基于欧几里得距离的聚类分析。- Use matlab intelligent predictive control algorithm, LZ complexity is reflected in a time sequence, Clustering analysis based on Euclidean distance.
nou-V3.6
- 时间序列数据分析中的梅林变换工具,实现典型相关分析,可以广泛的应用于数据预测及数据分析。- Time series data analysis Mellin transform tool, Achieve canonical correlation analysis, Can be widely used in data analysis and forecast data.
AR_predict
- 基于时间序列的自回归AR模型预测,有具体的注释-The autoregressive AR model based on time series prediction, a specific comments
hu514
- 阐述了负荷预测的应用研究,LZ复杂度反映的是一个时间序列中,研究生时的现代信号处理的作业。- It describes the application of load forecasting, LZ complexity is reflected in a time sequence, Modern signal processing jobs when the graduate.
withDAE
- 数据预处理、时间序列法确定参数、建立模型、预测-Data preprocessing, time series method to determine the parameters, model, forecast
GM(1-1)-model-
- GM(1,1)残差预测模型,用于预测指数或对数规律的时间序列-GM (1,1) residual prediction model for predicting the time series of exponential or logarithmic laws