Abstract
Earthquakes are natural disasters which may result in heavy losses. Accurate prediction of the time and intensity of future earthquakes can lead to minimizing losses due to earthquakes. A number of earthquake predictions have been proposed based on mathematical and statistical models. In this paper, we present an earthquake prediction technique using Bat Algorithm (BA) and Feed Forward Neural Network (FFNN). The BA is used to train the weights of the FFNN to predict future earthquakes on the basis of past input data. Experimental results show that our proposed approach is highly comparable and more stable than Back Propagation Neural Network (BPNN) with respect to accuracy.
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Saba, S., Ahsan, F. & Mohsin, S. BAT-ANN based earthquake prediction for Pakistan region. Soft Comput 21, 5805–5813 (2017). https://doi.org/10.1007/s00500-016-2158-2
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DOI: https://doi.org/10.1007/s00500-016-2158-2