This study offers a complete analysis of the use of deep learning or machine learning, as
well as precise recommendations on how these methods could be used in the creation of …

This work examines the possibility of using genetic algorithms and some neural networks to
optimise mechanisms. A detailed example shows that using this stochastic method along …

Artificial intelligence (AI) has moved past its primitive stages and is now poised to
revolutionize various fields, making it a disruptive technology. This technology is expected to …

A methodology with back-propagation neural network models is developed to explore the
artificial neural nets (ANN) technology in the new application territory of design optimization …

Recently, the artificial neural network has experienced a surge in popularity and is now one
of the most rapidly expanding areas of research across many disciplines. The main reason …

Modern machine learning (ML) techniques are transforming many disciplines ranging from
transportation to healthcare by uncovering patterns in data, developing autonomous …

In this paper, basic ideas and concepts of using artificial intelligence in design optimization
of engineering systems are presented. The purpose of the study is to develop an expert …

Artificial intelligence-powered tools are emerging lately due to the improvement of
computational power and advancements in other fields. This technological progress has led …

Supervised machine learning techniques have proven to be effective tools for engineering
design exploration and optimization applications, in which they are especially useful for …

This paper reviews five artificial intelligence tools that are most applicable to engineering
problems: knowledge-based systems, fuzzy logic, inductive learning, neural networks and …