Machine learning (ML) has evolved rapidly over recent years with the promise to
substantially alter and enhance the role of data science in a variety of disciplines. Compared …

Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

This study aimed to optimize Adaptive Neuro-Fuzzy Inferences System (ANFIS) with two
optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization …

The present study aimed to optimize the artificial neural network (ANN) with one of the well-
established optimization algorithms called particle swarm optimization (PSO) for the problem …

There has been an unsettling rise in the intensity and frequency of natural disasters due to
climate change and anthropogenic activities. Artificial intelligence (AI) models have shown …

Conventional ground motion models have extensively been established worldwide based
on classical regression analysis of records. Alternatively, advanced nonparametric machine …

In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is
investigated for slope stability calculation. The results are also compared to another artificial …

This article focuses on developing a ground motion prediction equation based on artificial
neural network (ANN) technique for shallow crustal earthquakes. A hybrid technique …

Earthquake is one of the most hazardous natural calamity. Many algorithms have been
proposed for earthquake prediction using expert systems (ES). We aim to identify and …