https://github.com/nunorc/sunspots-estimator

estimate monthly average of active sunspots in the Sun
https://github.com/nunorc/sunspots-estimator

Last synced: about 1 month ago
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estimate monthly average of active sunspots in the Sun

• Host: GitHub
• URL: https://github.com/nunorc/sunspots-estimator
• Owner: nunorc
• Created: 2019-09-19T18:35:50.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-09-19T19:38:01.000Z (over 5 years ago)
• Last Synced: 2025-04-09T21:54:43.863Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 644 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Sunspots Estimator

A convolutional neural network to predict the monthly average active sunspots

in the Sun. The data is available through the [Y-Space](http://y-space.pw/) API.

The Jupyter Notebook [sunspots-estimator.ipynb](sunspots-estimator.ipynb)

includes the process of creating the dataset and training the model.

The model is defined using a combination of a convolutional layer, LSTM layers,

and dense layers. The output is a single node layer -- the predicted number

of sunspots:

    Model: "sequential"

    _________________________________________________________________

    Layer (type)                 Output Shape              Param #   

    =================================================================

    conv-1 (Conv1D)              (None, None, 32)          192       

    _________________________________________________________________

    lstm-1 (LSTM)                (None, None, 60)          22320     

    _________________________________________________________________

    lstm-2 (LSTM)                (None, None, 60)          29040     

    _________________________________________________________________

    fc-1 (Dense)                 (None, None, 20)          1220      

    _________________________________________________________________

    fc-2 (Dense)                 (None, None, 10)          210       

    _________________________________________________________________

    output (Dense)               (None, None, 1)           11        

    =================================================================

    Total params: 52,993

    Trainable params: 52,993

    Non-trainable params: 0

The following plot illustrates the original values (the blue line) versus the

model predictions (orange line.).

![predictions](imgs/predictions.png)

The final version of the model is saved in [sunspots-estimator.h5](sunspots-estimator.h5).

### Acknowledgments

Thank you to Laurence Moroney for the initial bootstrap and motivation.