Using Generalized Regression Neural Network in Structural Engineering

Name: Using Generalized Regression Neural Network in Structural Engineering
Brand: Scholars' Press
SKU: 9783639661255
Price: 288.17 RON
Availability: InStock

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

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Editura: Scholars' Press

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

Informații despre carte

Autor

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

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2014

Pagini

116

EAN

9783639661255

ISBN

3639661257

Enbook ID

06394510

Editura

Scholars' Press

Greutate

181

Dimensiuni

152 x 229 x 7

Descriere completă

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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