搜索资源列表
MATLAB.rar
- matlab,时间序列,神经网络,预测,控制,matlab, time series, neural networks, prediction, control
FunctionChaosPredict
- 利用一阶局域加权法进行混沌时间序列的预测。-Using a weighted-rank local-region method of forecasting chaotic time series.
RBF
- matlab格式源代码。功能:径向基神经网络算法源码和应用于时间序列模型建立和预测问题。-matlab source code format. Function: RBF neural network algorithm source code and applies to time-series model and prediction of the problem.
Model_ARIMA1
- 季节性移动自回归模型 可以进行时间序列的预测 尤其是季节性数据-S-Arima seaonal Arima model in matlab
小波神经网络的时间序列预测——短时交通流量预测
- 小波神经网络的时间序列预测——短时交通流量预测(Prediction of time series based on Wavelet Neural Network -- short term traffic flow prediction)
Step4_zhibiao2
- 用于计算时间序列预测结果的误差指标,非常好用。(Error index for calculating time series prediction results.)
yuce
- 时间序列预测(time forecast)
DNN
- 基于动态神经网络的时间序列预测模型,可以进行时间序列预测(A time series prediction model based on dynamic neural network can predict time series.)
ESN-master
- 运用回声状态网络进行混沌时间序列预测,测试集为MackeyGlass_t17(Time series prediction using echo state network)
LSTM-for-time-series-prediction
- 本代码是使用lstm进行时间序列预测,能够很清晰的说明如何使用lstm(Time series prediction using LSTM)
MATLAB在时间序列建模预测及程序代码
- 时间序列 matlab 代码 讲解 pdf 方法(Time series matlab code explain pdf method)
ARIMA_test.ipynb2
- ARIMA在单变量时间序列预测中的应用,以及时间序列预测中的数据平滑处理和自相关检测(The Application of ARIMA in Prediction of Univariate Time Series)
时间序列分析程序
- 利用MATLAB进行时间序列分析程序的例题计算。时间序列法可以对一组比较有时间规律的数据进行预测。(MATLAB for time series analysis program example calculation. The time series method can be used to predict a group of data with time regularity.)
time-series-forecasting-keras-master
- 基于ARIMA模型和LSTM模型,提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
神经网络时间序列预测
- 利用python 构造人工神经网络 做时间序列预测分析(Time series prediction based on artificial neural network)
LSTM-单变量多步
- 用jupyter notebook 实现深度学习LSTM单变量多步的时间序列预测(Using jupyter notebook to realize multi-step time series prediction of deep learning LSTM)
timeseries_gan-master
- 用深度学习生成模型GAN实现时间序列预测,(Time series prediction is realized by using Gan model)
基于FLMS的时间序列预测
- 本程序是基于分数最小均方误差的Mackey Glass时间序列预测 英文名称是Mackey Glass Time Series Prediction Using Fractional Least Mean Square
GRU.py
- 时间序列预测,利用GRU模型预测客流、车流时间序列(Time series prediction, short-term time series prediction of passenger flow and vehicle flow)
源文件-动态神经网络时间序列预测研究——基于MATLAB的NARX实现
- 动态神经网络时间序列预测研究——基于MATLAB的NARX实现