Earthquake Prediction System using Neuro-Fuzzy and Extreme Learning Machine
- https://doi.org/10.2991/icst-18.2018.95How to use a DOI?
- Neuro-fuzzy; ANFIS; Extreme Learning Machine; ELM; Earthquake; prediction
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icst-18.2018.95 ID - Rahmat2018/12 ER -