搜索资源列表
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
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