NNSC-2005
Neural Networks and Soft Computing
|
|
NNSC-2005Neural Networks and Soft Computing |
|
Cracow, Poland, June 30 - July 2, 2005 |
Objectives:Increasing complexity of structures, prediction of their durability, design of new materials and many other structural problems affect the development of a new computational structures technology (CST). Neural networks, fuzzy logic and genetic algorithms constitute so-called soft computing (SC). It is a specialized computational method of artificial intelligence (AI) that is the most innovative part of CST. The neurocomputing, related to neural networks (NNs) plays a central role in SC.In recent years NN&SC have been successfully applied to the simulation, identification and assessment analysis of many problems of structural engineering which where difficult or even unable to be analyzed by the conventional (called also hard or purely numerical) computing. The main goal of NNSC-2005 is to present and discuss current development of NN&SC and their applications to the analysis of different problems in various areas of structural engineering. New formulations and modifications of SC fitting well to the nature of considered engineering problems and separate applications of the SC constituents in direct and inverse analysis will be highly appreciated both in the frame of deterministic and stochastic or fuzzy analysis. This concerns first of all identification of structural and material parameters, data-dependent modelling of physical relations, updating of FE models and search of global optimum using gradientless SC methods in the analysis for large engineering systems. Special attention will be focused on joining different formulations, e.g. SC and hard computing or SC, and other computational methods of AI, to implement new, numerically efficient and robust hybrid systems and methods. The Seminar will be addressed to young researchers and engineers who are interested in specialized computational methods of AI and their applications in structural mechanics and engineering. |