资源列表
map
- 用于绘制电机效率等高线图的程序，横坐标的转速，纵坐标转矩(A program for drawing contour diagrams of motor efficiency,the speed of the abscissa and the torque of the ordinate.)
13898405hvdc-simulink
- 主要用于电力系统的改善，电能质量，波形的改善，抑制电力系统的振荡，直流输电(It is mainly used for power system improvement, power quality, waveform improvement, and suppression of power system oscillation.)
DBN
- 深度信念神经网络应用程序，部分数据及仿真例程(Deep belief neural network application, simulation routine)
Tacotron-2-master
- 机器学习,人声训练,老外编译好的东西，不错，可以学习一下下(Machine learning, voice training, foreigner compiled things, yes, you can learn about it.)
oor-Classification-Classification
- BP网络的应用： BP神经网络用于分类与回归, 使用matlab打开(Application of BP Network: BP Neural Network is used for Classification and regression, matlab is used to Open)
多重分形去趋势波动分析模型
- 用于不同时间序列的重分形交叉相关性分析的多重分形去趋势交叉相关模型，整合了多重分形去趋势交叉相关系数于其中(A multifractal de-trend cross-correlation model for multifractal cross-correlation analysis of different time series is proposed, in which multifractal de-trend cross-correlation coefficients are
新的小波去噪程序
- 通过分析硬阈值函数的数学特性，并考察其对电能质量扰动信号的去噪过程可知， 该算法仅简单的对小波系数进行剔除与保留，在抑制噪声的同时也容易将突变点去除， 最终导致扰动定位失效，不利于分析电网故障的类型以及发生的起止时刻。(By analyzing the mathematical characteristics of the hard threshold function and investigating its denoising process to the power quality
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值，是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
MF-DFA-master
- 多重分形去趋势波动分析法，用于不同时间序列的重分形交叉相关性分析。(Multifractal detrended fluctuation analysis)
Regression
- python回归分析。利用花卉（花蕾）数据，进行python的回归分析学习。(regression analysis based on python)
SVM
- 基于python的svm分类学习。线性可分svm，非线性svm。 对花卉（花蕾）进行分类，并可视化(SVM classification learning based on Python)
pod
- pod分解。。。