Application of artificial neural networks for the prediction of traction performance parameters

A hybrid ANN–FEM framework for high accuracy slope stability prediction

Purpose. To develop a hybrid methodology that integrates Artificial Neural Networks (ANN) with Finite Element Method (FEM) simulations for the rapid and accurate prediction of slope stability. Methodology. A dataset of 1,000 FEM simulations was generated by systematically varying seven key input parameters: slope geo...

Predictive Modelling and Optimization of Slope Stability Using Numerical Simulations and Machine Learning Techniques

The current study combines numerical modelling and machine learning to identify the stability of applications in nail reinforced slope study. PLAXIS LE was used to develop different slopes having different soil properties including various values for cohesion (5, 10, 15 kPa), angle of internal friction (20°, 25°, 30°),...

Deep Neural Networks for Inverse Identification of Soil Parameters

Predicting Buckling Load of Slender Hollow Rods Using Machine Learning: Model Comparison and Input Sensitivity Analysis

Rod length and diameter were consistently identified as the dominant parameters governing buckling resistance, jointly accounting for the majority of predictive importance; when length was held constant, diameter alone emerged as the leading parameter, followed by comparable contributions from wall thickness and Young’...

Comparative Analysis of Neural Networks and Decision Trees for Roughness Prediction

This study develops robust machine learning-based approximate functions for predicting surface roughness resulting from toroidal milling on a five-axis CNC, highlighting the high potential of prediction models in optimizing machining processes.

ANN Application for Predicting and Investigating Dynamic Response of a Slider-Crank Mechanism with an Elastic Element

Incorporating elastic elements into planar mechanisms offers significant advantages in terms of energy efficiency, impact load reduction, and the elimination of dynamic reaction forces during operation. However, the mathematical models describing the dynamics of these mechanisms typically involve complex numerical comp...