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Using Generalized Regression Neural Network in Structural Engineering

Language EnglishEnglish
Book Paperback
Book Using Generalized Regression Neural Network in Structural Engineering Seyed Vahid Razavi Tosee
Libristo code: 06394510
Publishers Scholars' Press, August 2014
Traditional analysis methods used in Structural Engineering are reliable and can be successfully app... Full description
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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.

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About the book

Full name Using Generalized Regression Neural Network in Structural Engineering
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 116
EAN 9783639661255
ISBN 3639661257
Libristo code 06394510
Publishers Scholars' Press
Weight 181
Dimensions 152 x 229 x 7
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