Neural networks have been used in a number of civil engineering applications because of
their ability to implicitly learn an input–output relationship. Typically, the applications involve …

The detailed stage of structural design has benefited considerably from computer
automation of the numerically intensive tasks of structural analysis, optimization and …

Computers are an integral part of day to day activities in engineering design and engineers
have utilised various applications to assist them improve their design. Although computers …

In the past few years literature on computational civil engineering has concentrated primarily
on artificial intelligence (Al) applications involving expert system technology. This article …

Structural analysis programs used in solving design problems are often computationally
expensive. Obtaining optimal solutions typically requires numerous iterations involving …

This paper describes StructNet, a computer application developed to select the most
effective structural member materials given a building project's attributes. The system …

The pattern‐mapping, pattern‐classification, and optimization capabilities of neural networks
have been used to solve a number of structural analysis and design problems. Most …

This is the first of two papers providing a discourse on the understanding, usage, and
potential for application of artificial neural networks within civil engineering. The present …

Artificial neural networks are algorithms for cognitive tasks, such as learning and
optimization. They have the ability to learn and generalize from examples without …

The Chapter provides an introduction to the diverse range of alternative artificial neural
networks (ANNs) currently available and the types of application they have been adopted for …