Using Generalized Regression Neural Network in Structural Engineering - Ahmed Ei-shafie - Books - Scholars' Press - 9783639661255 - August 14, 2014
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Using Generalized Regression Neural Network in Structural Engineering

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Traditional analysis methods used in Structural Engineering are reliable and can be successfully applied by solving several numerical equations. Another alternative analytical modeling method is Artificial Neural Networks (ANNs), which capture the numerical equations between its nodes and no formal formula is observable within the network generation. ANN system is an acceptable method in predicting experimental results. In this book, FBNN and GRNN are generated to predict the load-deflection analysis in the one-way non-strengthened and Carbon Fiber Reinforced Polymer (CFRP) strengthened RC slab. The GRNN was applied for situation where training data is insufficient for network generation. In addition, GRNN is also applied for the mechanical strength prediction of lightweight concrete and mortar.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released August 14, 2014
ISBN13 9783639661255
Publishers Scholars' Press
Pages 116
Dimensions 152 × 229 × 7 mm   ·   191 g
Language German  

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