A Comparative Analysis of ANN and ANFIS Approaches for Earthquake Forecasting

The ANN (Artificial Neural Networks) & ANFIS (Adaptive Neuro-Fuzzy Inference System) approaches were used to identify between discrete and continuous readings in seismic recorded data and precursor radon all over the world. The significance of “precursor radon” in earthquake forecasting has been investigated. For time series modelling, the intelligence system ANN and ANFIS approaches were applied. The knowledge contained in the trained networks can be described as a fuzzy rule base using ANFIS techniques. The results of the research on the use of ANN and ANFIS approaches to forecast earthquakes are presented in this paper. The ANFIS algorithms outperform ANN modelling approaches in terms of accuracy. The varied techniques of ANN and ANFIS in various viewpoints of the seismic domain are also investigated in this research.