Abstract
In recent 7-8 years the Artificial Neural Networks (ANNs) have been widely introduced to structural engineering and especially to mechanics of structures and materials [1]. ANNs simulate biological neural networks very primitively. This concerns especially computer implementation of ANNs, called for short neurocomputing.
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References
Waszczyszyn Z.: Some recent and current problems of neurocomputing in civil and structural engineering, Advances in Computational Structures Technology, Topping B. H. V. (Ed), Civil-Comp Press, Edinburgh, 1996, 43–58.
Rojas R.: Neural Networks — A Systematic Introduction, Springer-Verlag, Berlin-Heidelberg, 1996.
Hajela P. and Berke L.: Neurobiological computational models in structural analysis and design, Comp. & Stru., 41 (1991), 657–667.
Szewczyk Z. P. and Noor A. K.: A hybrid neurocomputing/numerical strategy for nonlinear analysis, Comp.& Stru., 58, (1996), 661–677.
Ghaboussi J., Garret J. H.Jr and Wu X.: Knowledge-based modeling of material behavior with neural networks, J. Eng.Mechanics, 117, (1991), 132–153.
Jadid M. N. and Fairbairn D. F: Neural-network applications in predicting moment-curvature parameters from experimental data, Engng Applic. Artif. Intell., 9, (1996), 309–319.
Yamamoto K.: Modeling and hysteretic behaviour with neural network and its application to nonlinear dynamic response analysis, Application of Artificial Intelligence in Engineering, Proc.7th Intern. Conf., 1992, 475–486.
Mucha G. and Waszczyszyn Z.: Application of artificial neural networks to bending analysis of elasto-plastic beams (in Polish), Proc. XLII Polish Conference of Civil Engineering, Krakow-Krynica 1996, Vol. 2, 193–200.
Waszczyszyn Z, Cichoń Cz. and Radwańska M.: Stability of Structures by Finite Element Methods, Elsevier, 1994.
SNNS (Stuttgart Neural Network Simulator), User’s Manual, Version 4.1, Institut for Parallel and Distributed High Performance Systems, Rep. No 6/95, publ. University of Stuttgart, 1995.
Krzyś W. and Życzkowski M.: Elasticity and Plasticity (in Polish), PWN, Warsaw, 1962.
Mucha G.: Problem formulation used in application of BPNs on example of elastoplastic beam bending, III Conference on Neural Networks and Their Applications, Kule k/Częstochowy, October 13-17, 1997, (in press).
Ramm E. and Matzenmiller A.: Computational aspects of elasto-plasticity in shell analysis, Computational Plasticity — Models, Software and Applications, Owen D. R. J., Hinton E., Onate E. (Eds.), Pineridge Press, Swansea, 1987, P. I, 711–734.
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Waszczyszyn, Z., Pabisek, E., Mucha, G. (1999). Hybrid Neural-Network/Computational Programs to the Analysis of Elastic-Plastic Structures. In: Mang, H.A., Rammerstorfer, F.G. (eds) IUTAM Symposium on Discretization Methods in Structural Mechanics. Solid Mechanics and its Applications, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4589-3_22
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DOI: https://doi.org/10.1007/978-94-011-4589-3_22
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