Simulation

Artificial neural networks

Research Uncovers Efficient Neural Network Approach for Predicting Energy Performance in Commercial Buildings

A new report from researchers at the University of Perugia reveals a simplified neural network approach to predict energy and thermal performance in commercial buildings, enhancing the applicability of artificial intelligence techniques. By utilizing the EnergyPlus dynamic simulation software, the study demonstrates a computationally lightweight and scalable solution for performance

Artificial neural networks

Artificial Neural Networks for Estimating Fatigue Life of Steel Components

Researchers at the University of Rijeka have developed a surrogate artificial neural network (ANN) model to estimate the fatigue life of steel components with stress concentrators. The model, trained on data generated from a computational finite element-based (FE-based) model, can accurately predict the number of load cycles to failure. This