EARTHQUAKE FORECASTING USING ARTIFICIAL NEURAL NETWORKS

15 citations as recorded by crossref.

1. Assessment on maximum magnitude of natural and triggered earthquake when water is impounded in the mining pit: A case study in Nui Nho quarry, Vietnam based on gravity and magnetic data X. Bui et al. 10.2205/2020ES000690
2. Machine intelligence in dynamical systems: \A state‐of‐art review A. Sahoo & S. Chakraverty 10.1002/widm.1461
3. Quantifying the current state of earthquake hazards in Nepal S. Pasari et al. 10.1016/j.acags.2021.100058
4. A synoptic view of the natural time distribution and contemporary earthquake hazards in Sumatra, Indonesia S. Pasari et al. 10.1007/s11069-021-04682-0
5. Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia Y. Essam et al. 10.1016/j.soildyn.2021.106826
6. Machine learning in microseismic monitoring D. Anikiev et al. 10.1016/j.earscirev.2023.104371
7. An improved third term backpropagation algorithm – inertia expanded chebyshev orthogonal polynomial M. Sornam & V. Vanitha 10.3233/JIFS-190063
8. An attention-based LSTM network for large earthquake prediction A. Berhich et al. 10.1016/j.soildyn.2022.107663
9. Contemporary Earthquake Hazards in the West-Northwest Himalaya: A Statistical Perspective through Natural Times S. Pasari & Y. Sharma 10.1785/0220200104
10. Solar activity facilitates daily forecasts of large earthquakes M. Junqueira Saldanha & Y. Hirata 10.1063/5.0096150
11. Nowcasting earthquakes in Sulawesi Island, Indonesia S. Pasari et al. 10.1186/s40562-021-00197-5
12. A location-dependent earthquake prediction using recurrent neural network algorithms A. Berhich et al. 10.1016/j.soildyn.2022.107389
13. Inverse Gaussian versus lognormal distribution in earthquake forecasting: keys and clues S. Pasari 10.1007/s10950-019-09822-5
14. Spatial distribution of earthquake potential along the Himalayan arc Y. Sharma et al. 10.1016/j.tecto.2020.228556
15. The Current State of Earthquake Potential on Java Island, Indonesia S. Pasari et al. 10.1007/s00024-021-02781-4