Using Generalized Regression Neural Network in Structural Engineering - Couverture souple

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

 
9783639661255: Using Generalized Regression Neural Network in Structural Engineering
Couverture souple
ISBN 10 : 3639661257 ISBN 13 : 9783639661255
Editeur : Scholars' Press, 2014

Synopsis

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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À propos de l?auteur

Dr. Seyed Vahid Razavi tosee is a holder of academic position in Structural Engineering Department 0f Joundi-shapor University of Technology, Dezful, Iran. His main areas of research includes Structural Engineering, Neural Networks, Smart Structures, Structural dynamics, and more recently dynamic assessment and health monitoring of bridges.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2014
Langue
anglais
ISBN 10 
3639661257
ISBN 13 
9783639661255
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
non disponible