The last decades have been driven by significant progress in the computational capacity,
which have been supporting the development of increasingly realistic and detailed …

Abstract Artificial Neural Network (ANN) architecture contains three main (input, hidden and
output) layers. The connections are established between layers through weights and bias …

Mathematical modeling is applied to study phenomena and system behavior. In various
engineering fields, many physical phenomena are illustrated using a set of differential …

In this paper, classical and non-integer model order reduction methodologies are compared.
Non integer order calculus has been used to generalize many classical control strategies …

This contribution proposes an approximation technique for reduction of higher order
continuous systems (HOCS) using symbiotic organisms search (SOS) algorithm. The …

In recent years, order-reduction techniques based on artificial intelligence algorithms have
become a topic of interest in the structural dynamics community. In this paper, we describe a …

Elium® resin is nowadays actively investigated to leverage its recycling ability. Thus,
multiple polymerization modeling are developed and used. In this work, we investigate the …

This study presents the design and validation of a numerical method based on an AI-driven
ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order …

Modeling soft biphasic permeable materials is a challenging issue tackled nowadays by
countless researchers. The effective modeling of such materials is a corner stone in the …

In this Paper, a Particle Swarm Optimization based solution is proposed to solve the problem
of model order reduction for high order transfer functions. The main advantages of our …