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GitHub / diest / TimeSeries_SOM_LSTM

This is an implementation of local learning for time series forecasting using self-organizing maps (SOMs) for determining time-window similarity and specialized long short-term memory recurrent neural networks (LSTM-RNNs) for prediction.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/diest%2FTimeSeries_SOM_LSTM
PURL: pkg:github/diest/TimeSeries_SOM_LSTM

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 2.49 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago

Topics: lstm-model, lstm-neural-network, self-organizing-map, time-series, time-series-forecasting

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