Computational Technology Resources - CSETS

Z. Waszczyszyn

Institute of Computer Methods in Civil Engineering, Cracow University of Technology, Cracow, Poland

doi:10.4203/csets.3.23

Z. Waszczyszyn, "Neural Networks in Structural Engineering: Some Recent Results and Prospects for Applications", in B.H.V. Topping, (Editor), "Computational Mechanics for the Twenty-First Century", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 23, pp 479-515, 2000. doi:10.4203/csets.3.23

Abstract

Basics of four types of Artificial Neural Networks (ANNs) related to Error Back-Propagation, Radial Basis Functions, Adaptive Fuzzy Inference System and Recurrent NN (Hopfield-Tank NN) are presented in short. Then applications of these networks in the analysis of the following problems are discussed: 1) analysis of implicit constitutive relations, 2) hybrid FEM/ANN programs, 3) real building vibration problems, 4) damage identification problems. Special attention is paid to accuracy of neural approximation, input data preprocessing and improvements in ANN structure. In the end some conclusions and prospects of neurocomputing in structural engineering are pointed out.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 3 COMPUTATIONAL MECHANICS FOR THE TWENTY-FIRST CENTURY Edited by: B.H.V. Topping Chapter 23 Neural Networks in Structural Engineering: Some Recent Results and Prospects for Applications Z. Waszczyszyn Institute of Computer Methods in Civil Engineering, Cracow University of Technology, Cracow, Poland doi:10.4203/csets.3.23 purchase the full-text of this chapter Full Bibliographic Reference for this chapter Z. Waszczyszyn, "Neural Networks in Structural Engineering: Some Recent Results and Prospects for Applications", in B.H.V. Topping, (Editor), "Computational Mechanics for the Twenty-First Century", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 23, pp 479-515, 2000. doi:10.4203/csets.3.23 Abstract Basics of four types of Artificial Neural Networks (ANNs) related to Error Back-Propagation, Radial Basis Functions, Adaptive Fuzzy Inference System and Recurrent NN (Hopfield-Tank NN) are presented in short. Then applications of these networks in the analysis of the following problems are discussed: 1) analysis of implicit constitutive relations, 2) hybrid FEM/ANN programs, 3) real building vibration problems, 4) damage identification problems. Special attention is paid to accuracy of neural approximation, input data preprocessing and improvements in ANN structure. In the end some conclusions and prospects of neurocomputing in structural engineering are pointed out. purchase the full-text of this chapter (price £20) go to the previous chapter return to the table of contents return to the book description purchase this book (price £138 +P&P)
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