Integrated support vector regressor and hybrid neural network techniques for earthquake prediction along Chaman fault, Baluchistan-Reference-Cited by-同舟云学术

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Integrated support vector regressor and hybrid neural network techniques for earthquake prediction along Chaman fault, Baluchistan

Published:2021-10-22 Issue:21 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Khalil Umer,Aslam Bilal,Kazmi Zaheer Abbas,Maqsoom Ahsen,Qureshi Muhammad Irshad,Azam Sheheryar,Nawaz Ahsan

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-021-08564-4.pdf

Reference53 articles.

1. Adeli H, Panakkat A (2009) A probabilistic neural network for earthquake magnitude prediction. Neural Netw 22(7):1018–1024

2. Alarifi AS et al (2012) Earthquakes magnitude predication using artificial neural network in northern Red Sea area. J King Saud Univ-Sci 24(4):301–313

3. Alexandridis A et al (2013) Large earthquake occurrence estimation based on radial basis function neural networks. IEEE Trans Geosci Remote Sens 52(9):5443–5453

4. Alzabeebee S (2020) Application of EPR-MOGA in computing the liquefaction-induced settlement of a building subjected to seismic shake. Eng Comp: 1–12.

5. Amjady N, Keynia F (2008) Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm. IEEE Trans Power Syst 24(1):306–318

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