Skip to content
kPCA-RNN model for forecasting DO concentration
Python
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.vscode
data
otherplot
statistical
.gitattributes
MLP_test.py
README.md
__init__.py
grnn.py
lstm.py
lstm1.h5
lstm2.h5
lstm31.h5
rnn_model.py
rnn_support.py
svr_benchmark.py

README.md

kPCA-RNN model for forecasting DO concentration

The code is for the following publication:

Predicting the Trend of Dissolved Oxygen based on kPCA-RNN Model

Time Series Forecasting, RNN, LSTM, PCA


Dependency

  • Python 3.6
  • Pytorch
  • Tensorflow 1.15
  • numpy
  • pandas
  • matplotlib
  • scipy

Description

  • It inclues lstm, ann, svr and grnn models tested in this paper.
  • It also has all the functions to generate all most of the figures in the paper.
  • It has the functions about PCA analysis
You can’t perform that action at this time.