By Zenon Waszczyszyn (eds.)
Neural Networks are a brand new, interdisciplinary device for info processing. Neurocomputing being effectively brought to structural difficulties that are tough or maybe very unlikely to be analysed via common desktops (hard computing). The ebook is dedicated to foundations and functions of NNs within the structural mechanics and layout of structures.
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Extra info for Neural Networks in the Analysis and Design of Structures
The second hidden layer extracts global features. A neuron in the second layer combines the outputs of neurons in the first hidden layer operating on a particular region of the input space, and thereby learns the global features for that region. g. JNM where: H, N, M - number of neurons in the hidden, input and output layers, or even H = I or 2) and check the generalization by means of parallel training and testing processes. In case Fundamentals of ANNs 27 when the training error is high the complexity (nwnber of neurons in the hidden layer) of network should increase.
G. JNM where: H, N, M - number of neurons in the hidden, input and output layers, or even H = I or 2) and check the generalization by means of parallel training and testing processes. In case Fundamentals of ANNs 27 when the training error is high the complexity (nwnber of neurons in the hidden layer) of network should increase. g. HI ~ N, H2 ~ M). e. the nwnber of neurons HI and H2 is decreased. As in strategy I) the parallel training and testing processes enable us to estimate the generalization properties of considered networks.
21. Zell, A. 1, Univ. Stuttgart 1995. 22. : Practical Neural Network Recipes in C++, Academic Press 1993. 23. , Pabisek, E. : Application of back-propagation neural networks to the buckling analysis of cylindrical shells, in: Neural Networks and Their Applicatios, Proc. , Cz~stochowa, Poland, 1997,473-478. 24. , Fazio, P. , 9 (1994),145-159. 25. , Berke, J. , 3(1992), 539-544. 26. , Stephan, Y. : Finite element meshing using Kohonen's self-organizing maps, in: Artificial Neural Networks (Eds. Kohonen et al), Elsevier Science Publishers, 1991, 1313-1317.
Neural Networks in the Analysis and Design of Structures by Zenon Waszczyszyn (eds.)