Update README.md

README.md

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 ## Introduction:
-RadNet it is composed of 2 LSTM (Long-Short Term Memory) layers that helps the model to ident), which will facilitate the prediction of the daily radiation amount as well as solar storms in LEO (Low Earth Orbit). This model was also featured by the National Space Society (NSS) under the project Aletheia.
+RadNet it is composed of 2 LSTM (Long-Short Term Memory) layers that helps the model to identify patterns from the dataset, that was trained on ([lucazsh/RadNet](https://huggingface.co/lucazsh/RadNet)), which will facilitate the prediction of the daily radiation amount as well as solar storms in LEO (Low Earth Orbit). This model was also featured by the National Space Society (NSS) under the project Aletheia.
 
 The radiation data was extracted from the NASA OSDR EDA API (https://visualization.osdr.nasa.gov/eda/), from the RR's missions (RR-1, RR-3, RR-4, RR-6, RR-8, RR-9, RR-12, RR-17, and RR-19).