Advances of Soft Computing in Engineering
The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft
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Series Editors: The Rectors Giulio Maier - Milan Jean Salençon - Palaiseau Wilhelm Schneider - Wien
The Secretary General Bernhard Schrefler - Padua
Executive Editor Paolo Serafini - Udine
The series presents lecture notes, monographs, edited works and proceedings in the field of Mechanics, Engineering, Computer Science and Applied Mathematics. Purpose of the series is to make known in the international scientific and technical community results obtained in some of the activities organized by CISM, the International Centre for Mechanical Sciences.
INTERNATIONAL CENTRE FOR MECHANICAL SCIENCES COURSES AND LECTURES - No. 512
ADVANCES OF SOFT COMPUTING IN ENGINEERING
EDITED BY ZENON WASZCZYSZYN RZESZOW AND CRACOW UNIVERSITIES OF TECHNOLOGY, POLAND
This volume contains 215 illustrations
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. © 2010 by CISM, Udine Printed in Italy SPIN 12775583
All contributions have been typeset by the authors.
ISBN 978-3-211-99767-3 SpringerWienNewYork
PREFACE An increasing interest in the neural networks and soft computing is visible in sciences and engineering. Just in this field, two CISM Advanced Schools were organized in 1998 and 2003. The corresponding books were published as CISM Courses and Lectures Nos 404 and 496. The first book was written on neural networks in the analysis and design of structures. Chapter 7 of the other book was devoted to applications of neural networks to the identification of structural mechanics problems. The present book corresponds to six cycles of lectures given at the CISM Advanced School on Advances of Soft Computing in Engineering, held in Udine, Italy on October 8-12, 2007. The lectures were delivered by invited professors from six different universities. The first three Chapters are based on soft methods related to genetic and evolutionary algorithms. Next to the theoretical and algorithmic background, many engineering applications are discussed and, especially, those addressed to civil and mechanical engineering are worth emphasizing. The next three Chapters are devoted to neural networks (NNs) and their engineering applications. Beside the standard, deterministic NNs also probabilistic and, especially, Baysian NNs are discussed. Their applications in mechanics of structures and materials are presented from the viewpoint of civil, seismic and mechanical engineering problems. The organizers of the School and editors of this book wish to express they cordial thanks to the invited lecturers (Professors Tadeusz Burczyski of Silesian University of Technology, Poland, Jamshid Ghaboussi of University of Illinois at Urbana-Champain, USA, Manolis Papadrakakis of National University of Athens, Greece, John Miles of Cardiff University, UK, Vassili Toropov of University of Leeds, UK) for their effort at delivering lectures
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