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

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 …

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

Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical
Council on Computer Practices of ASCE. This report illustrates advanced methods and new …

The first paper of this two-paper series developed an understanding of how artificial neural
networks work and explained the primary issues involved in their use. This second paper …

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 …

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 …

From the Publisher: This monograph provides researchers with an understanding of the
potential of artificial neural networks for solving civil engineering related problems, and …

This paper presents a neural network approach for building Neuroform, a computer system
that provides the selection of vertical formwork systems for a given building site. The reasons …

At first glance, artificial neural networks appear to be one of the great success stories in the
history of computing in civil engineering. In the Journal of Computing in Civil Engineering …