Intelligent Computational Paradigms in Earthquake Engineering



Preface

The enormous advances in computational hardware and software resources over the last 15 years resulted in the development, of new, nonconventional data-processing and simulation methods. Among these methods soft computing (SC) or artificial intelligence (AI) has to be mentioned as one of the most eminent approaches to the so-called intelligent methods of information processing that present a great potential for engineering applications. Most SC methods are inspired by natural paradigms and therefore differ significantly from conventional



mathematical approaches. Artificial neural networks (ANNs), expert and fuzzy systems, as well as evolutionary methods are the most popular soft-computing techniques. Artificial-intelligence methods are used either in order to reduce the computational cost, or when the complexity and/or the size of the problem forbids the use of conventional techniques.

Especially, ANNs have been widely used in many fields of science and technology

as well as in an increasing number of problems in structural engineering in general.


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