Using Generalized Regression Neural Network in Structural Engineering - Softcover

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

 
9783639661255: Using Generalized Regression Neural Network in Structural Engineering
Softcover
ISBN 10: 3639661257 ISBN 13: 9783639661255
Verlag: Scholars' Press, 2014

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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.

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Verlag
Scholars' Press
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3639661257
ISBN 13 
9783639661255
Einband
Taschenbuch
Anzahl der Seiten
116
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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