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dc.contributor.author Martínez-Barrera, Gonzalo
dc.contributor.author Gencel, Osman
dc.contributor.author Beycioglu, Ahmet
dc.contributor.author Subasa, Serkan
dc.contributor.author González-Rivas, Nelly
dc.date.accessioned 2018-03-14T19:11:15Z
dc.date.available 2018-03-14T19:11:15Z
dc.date.issued 2015-07-01
dc.identifier.isbn 10.4018/978-1-4666-8183-5
dc.identifier.uri http://hdl.handle.net/20.500.11799/79930
dc.description.abstract Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology. es
dc.language.iso eng es
dc.publisher IGI Global es
dc.rights embargoedAccess es
dc.rights embargoedAccess es
dc.subject Methods, Applications es
dc.subject Civil Engineering es
dc.subject Artificial intelligence es
dc.title Artificial Intelligence Methods and Their Applications in Civil Engineering es
dc.type Capítulo de Libro es
dc.provenance Científica es
dc.road Dorada es
dc.organismo Química es
dc.ambito Internacional es
dc.cve.CenCos 20401 es


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  • Título
  • Artificial Intelligence Methods and Their Applications in Civil Engineering
  • Autor
  • Martínez-Barrera, Gonzalo
  • Gencel, Osman
  • Beycioglu, Ahmet
  • Subasa, Serkan
  • González-Rivas, Nelly
  • Fecha de publicación
  • 2015-07-01
  • Editor
  • IGI Global
  • Tipo de documento
  • Capítulo de Libro
  • Palabras clave
  • Methods, Applications
  • Civil Engineering
  • Artificial intelligence
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

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