Sinossi
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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Informazioni sull?autore
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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Using Generalized Regression Neural Network in Structural Engineering
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch. Codice articolo 9783639661255
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Razavi Tosee Seyed VahidDr. 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 Engin. Codice articolo 4996447
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Using Generalized Regression Neural Network in Structural Engineering
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9783639661255
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783639661255
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Taschenbuch. Condizione: Neu. Using Generalized Regression Neural Network in Structural Engineering | Seyed Vahid Razavi Tosee (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | Scholars' Press | EAN 9783639661255 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 105128223
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