Artificial Neural Networks in Structural Engineering: Concept and Applications
Abbes Berrais · Journal of King Abdulaziz University-Engineering Sciences · 1999
Artificial neural networks are algorithms for cognitive tasks, such as learning and optimization. They have the ability to learn and generalize from examples without knowledge of rules. Research into artificial neural networks and their application to structural engineering problems is gaining interest and is growing rapidly. The use of artificial neural networks in structural engineering has evolved as a new computing paradigm, even though still very limited. The objective of this paper is to introduce the concept, theoretical background, advantages, and shortcomings of artificial neural networks technology. Next, some recent applications in structural engineering are briefly reviewed. Then, a conclusion is drawn.