搜索资源列表
ARFIMA222
- 基于长记性特征的时间序列预测模型，很好用，准确度优于普通神经网络，我自己一直在用-Characteristics based on long memory time series forecasting model, the good, the accuracy is better than an ordinary neural network, I have been using
nerve-network
- 神经网络实现时间序列预测的方法，实现实现实现，实现-Neural network time series prediction method, to achieve and to achieve
yueceyouhua
- m.file，matlab7.0以上，用于神经网络时间序列预测-failed to translate
BP神经网络预测算法MATLAB源程序
- BP神经网络预测算法MATLAB源程序，用于混沌时间序列预测。(BP neural network prediction algorithm MATLAB source code for chaotic time series prediction.)
NAR神经网络
- NAR神经网络 采用matlab编程，用来预测时间序列，(NAR neural network is used to predict the time series)
对角递归
- 用于时间序列的训练以及预测。非常实用，需要的可以下载看看。(DRNN ee e fwasfegadff)
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)
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
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.)
lstm
- 循环神经网络LSTM可以预测时间序列数据，根据历史时刻的信息预测未来时刻的信息(the recurrent neural network is very useful to predict data in the future)
08神经网络逼近股票收盘均价2
- python演示神经网络来逼近股价走势的预测，基于时间序列的预测(Python demonstrates neural network to approximate the prediction of stock price trend, based on time series prediction)
小波神经网络的时间序列预测
- 一个关于小波神经网络的时间序列预测模型，完整可运行的代码(A Time Series Prediction Model of Wavelet Neural Network, Complete Running Code)
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)