Using Generalized Regression Neural Network in Structural Engineering

Name: Using Generalized Regression Neural Network in Structural Engineering
Brand: Scholars' Press
SKU: 9783639661255
Price: 1180 CZK
Availability: InStock

Autor: Seyed Vahid Razavi Tosee, Mohd Zamin Jumaat, Ahmed EI-Shafie

Jazyk:

Vazba: Brožovaná

Vydavatel: Scholars' Press

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 180 Kč

Traditional analysis methods used in Structural Engineering are reliable and can be successfully app...

Informace o knize

Autor

Seyed Vahid Razavi Tosee, Mohd Zamin Jumaat, Ahmed EI-Shafie

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2014

Stránek

116

EAN

9783639661255

ISBN

3639661257

Enbook ID

06394510

Vydavatel

Scholars' Press

Hmotnost

181

Rozměry

152 x 229 x 7

Kompletní popis

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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Using Generalized Regression Neural Network in Structural Engineering

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