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 …

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

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 …

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 …

In the past few years, neural networks have emerged as a problem‐solving technique with
capabilities suited to many civil engineering problems. Among the various neural network …

The paper presents a technique for generating concise neural network models of physical
systems. The neural network models are generated through a two-stage process. The first …

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

The purpose of this paper is to stimulate interest within the civil engineering research
community for developing the next generation of applied artificial neural networks. In …