An Enhanced Earthquake Prediction Model Using Long Short-Term Memory
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Abstract
Seismology is a branch of science which deals with the prediction of earthquake in specification with magnitude,
location and time of future earthquakes with required parameters and within the stated limits along with exact region of
occurrence. Exact earthquake prediction is an active research area but prediction of results with high accuracy is important
which are carried out by evaded scientist. In the present work exact prediction of earthquake with high accuracy is tried to
achieve using RNN called Long Short Term Memory (LSTM), where the rigorous trained model is helpful for exact prediction
of earthquake.
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