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Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic

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Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic

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Garzón Roca, J.; Obrer Marco, C.; Adam Martínez, JM. (2013). Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic. Engineering Structures. 48:21-27. doi:10.1016/j.engstruct.2012.09.029

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37846

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Title: Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Ciencia y Tecnología del Hormigón - Institut de Ciència i Tecnologia del Formigó
Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil
Issued date:
Abstract:
The use of mathematical tools such as Artificial Neural Networks and Fuzzy Logic has been shown to be useful for solving complex engineering problems, without the need to reproduce the phenomenon under study, when the only ...[+]
Subjects: Neural Networks , Fuzzy Logic , Masonry , Compressive strength
Copyrigths: Cerrado
Source:
Engineering Structures. (issn: 0141-0296 )
DOI: 10.1016/j.engstruct.2012.09.029
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.engstruct.2012.09.029
Type: Artículo

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