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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 31176

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An Artificial Neural Network Model Based Study of Seismic Wave
A study based on ANN structure gives us the information to predict the size of the future in realizing a past event. ANN, IMD (Indian meteorological department) data and remote sensing were used to enable a number of parameters for calculating the size that may occur in the future. A threshold selected specifically above the high-frequency harvest reached the area during the selected seismic activity. In the field of human and local biodiversity it remains to obtain the right parameter compared to the frequency of impact. But during the study the assumption is that predicting seismic activity is a difficult process, not because of the parameters involved here, which can be analyzed and funded in research activity.
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[1] Rai, Durgesh. C., Singhal, Vaibhav, Mondal,Goutam, Parool, Neha, Mitra, Keya, 2012. The M 6.9 Sikkim Earthquake of 18 September 2011. Current Science 102.
[2] Reyes, J., Morales-Esteban, A., Martínez-Álvarez, F., 2012. Neural networks to predict earthquakes in Chile. Applied Soft Computing 13,1314-1328
[3] Moustra, Maria, Avraamides, Marios, Christodoulou, Chris, 2009. Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals. Expert Systems with Applications 38, 15032-15039
[4] Marcin Polkowski, Nr albumu: 251328, Simulation of wave fronts and amplitudes of P and S-waves in spherically symmetric Earth model using ray approach, Uniwersytet Warszawski Wydzia Fizyki.
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[10] Liu, J.Y., Chen, Y.I., Chen, C.H., Liu, C.Y., Chen, C.Y., Nishihashi, M., Li, J.Z., Xia, Y.Q., Oyama, K.I., Hattori, K. and Lin, C.H., 2009. Seismoionospheric GPS total electron content anomalies observed before the 12 May 2008 Mw7. 9 Wenchuan earthquake. Journal of Geophysical Research: Space Physics, 114(A4).
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[12] M. Palakal and M. Zoran, "Feature extraction from speech spectrograms using multi-layered network models," in IEEE International Workshop on Tools for Artificial Intelligence, Fairfax, VA, USA, 1989 pp. 224,225,226,227,228,229,230.doi: 10.1109/TAI.1989.65324
[13] R. Mukhaiyar and R. Safitri, "Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System," 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, Padang, Indonesia, 2019, pp. 1-5, doi: 10.1109/QIR.2019.8898276.
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