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We use weather data of Ulsan, Korea from 1980 to 2017 to predict temperature.

Python 100.00%

bidirectional-lstm-and-convolutional-neural-network-for-temperature-prediction's Introduction

Bidirectional-LSTM-and-Convolutional-Neural-Network-For-Temperature-Prediction

I use weather data of Ulsan, Korea from 1980 to 2018 to predict temperature.

Keras with Tensorflow backend

Please intall it when you want to run.
Don't forget to set your checkpoints and logs folders

How to run?

python train.py
python test.py

You can visualize your training process using Tensorboard

tensorboard --logdir=/logs

Note: You can only use it for research purposes.

bidirectional-lstm-and-convolutional-neural-network-for-temperature-prediction's People

Contributors

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zerde1 sunshulin1 aban77 peterboyyy pilingf mfzhang mmochii lqchencode pinezhuo vincisteel zorfmorf agile-lee w1074098501 tsunamisir koi-boy humasak babala5687 yzhbeihai

bidirectional-lstm-and-convolutional-neural-network-for-temperature-prediction's Issues

Why do this calculation in the code?

Hi,thank you for this code. I want to know why do this calculation in the code?

become original temperature

temper_predict = np.array(test_predict)(temper_max - temper_min) + temper_min
temper_truth = np.array(temper_truth)(temper_max - temper_min) + temper_min

Thank you.

This code is based on any paper or some theory?

Thank you for you coding work. I ran the whole project. But i wonder: this work is based on any papers or some theory? Look forward to your feedback. Thanks again.
@PotatoThanh

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