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biyelunwenkaitibaogao
- 基于时间序列数据预测方法的股市收盘价预测的毕业论文开题报告(理工类)-based on the time series data to predict the stock market means closing price forecasts dissertation problem that report (Polytechnic)
STA-137-Take-home-midterm.Rmd
- Cardiovascular Mortality the LA Pollution study 时间序列预测-Cardiovascular Mortality the LA Pollution study time series forecasting
arma
- 时间序列预测,是ARMA预测，能够实现短期预测。-Time Series Prediction
rnn
- rnn maltab时间序列预测实现，深度学习时间序列预测实现-realization of RNN
Mackey-Glass-Time-Series-Forecasting
- 用模糊预测混沌时间序列预测方法的matlab程序，很好用-Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster
svmTime-series-prediction
- matlab环境下的支持向量机的时间序列预测-Time Series Prediction of Support Vector Machine in Matlab Environment
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction) RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra
Elman
- ELMAN神经网络时间序列预测,带有数据值-ELMAN neural network time series prediction With the data values
www.dssz.com_dssz
- 混沌时间序列预测中的李雅普诺夫指数算法，判断时间序列的混沌特性(The Lyapunov exponent algorithm in chaotic time series prediction is used to determine the chaotic characteristics of time series)
hurst指数
- hurst指数主要用于预测时间序列的未来变化趋势(Mainly used to predict the future trend of time series trends)
ARIMA
- 可以很好的预测数据，程序代码简单可靠好用(Good prediction of data, the program code is simple and reliable easy to use.)
ARMA
- 采用MATLAB实现arma时间序列的建模与预报(Modeling and forecasting of ARMA implementation time series)
lstm
- 使用lstm神经网络预测时间序列，同时对参数选择进行优化(Time series prediction using LSTM neural network, the selection of the parameters are optimized)
loess-master
- 局部加权平均算法，用于时间序列预测，大家看着给点好处就好(Local weighted average algorithm for time series prediction.)
LSTM_main
- LSTM（Long Short-Term Memory）是长短期记忆网络，是一种时间递归神经网络，适合于处理和预测时间序列中间隔和延迟相对较长的重要事件。(LSTM (Long Short-Term Memory) is a long and short term memory network. It is a kind of time recurrent neural network, which is suitable for dealing with and predicting impo
c-c算法计算时间tau
- 在混沌时间序列方法进行风电功率预测用C-C算法tau时间(C-C algorithm tau time for wind power prediction using chaotic time series method)
code
- 数据处理预测；时间序列；前期数据处理；后期GRU预测(Data processing prediction)
LargestLyapunov_Rosenstein
- 混沌时间序列预测中，重构相空间采用小数据量法求取最大李雅普莫诺夫指数。(In the prediction of chaotic time series, the maximum lyapunov index is obtained by the method of small data quantity in the reconstructed phase space.)
23_time_series_prediction
- 用 Python 机器学习，时间序列模型预测， 循环神经网络(Python Machine Learning, Time Series Model Prediction, recurrent Neural Network)
Python深度学习实战_原书代码
- 深度学习正在为广泛的行业带来革命性的变化。对于许多应用来说，深度学习通过做出更快和更准确的预测，证明其已经超越人类的预测。本书提供了自上而下和自下而上的方法来展示深度学习对不同领域现实问题的解决方案。这些应用程序包括计算机视觉、自然语言处理、时间序列预测和机器人。(Deep learning is bringing revolutionary changes to a wide range of industries. For many applications, deep learning p