Earthquake Prediction System using Neuro-Fuzzy and Extreme Learning Machine

DOI

10.2991/icst-18.2018.95How to use a DOI?

Keywords

Neuro-fuzzy; ANFIS; Extreme Learning Machine; ELM; Earthquake; prediction

Abstract

Knowledge of earthquake predictions is very important, especially to recognize patterns of occurrence. This paper proposes an earthquake prediction system, in the form of b-value predictions as parameters that indicate the potential for earthquakes. The methods used are neuro-fuzzy with ANFIS structure and Extreme Learning Machine (ELM). From the experimental results, it shows that the ELM method has better performance than Neuro-fuzzy with ANFIS structure.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Basuki Rahmat
AU  - Fitri Afiadi
AU  - Endra Joelianto
PY  - 2018/12
DA  - 2018/12
TI  - Earthquake Prediction System using Neuro-Fuzzy and Extreme Learning Machine
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 452
EP  - 458
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.95
DO  - 10.2991/icst-18.2018.95
ID  - Rahmat2018/12
ER  -