Título
Artificial Intelligence Methods and Their Applications in Civil Engineering
Autor
GONZALO MARTINEZ BARRERA
GENCEL OSMAN
AHMET BEYCIOGLU
serkan subasi
NELLY MA DE LA PAZ GONZALEZ RIVAS
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
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.
Editor
IGI Global
Fecha de publicación
2015
Tipo de publicación
Capítulo de libro
Recurso de información
Fuente
10.4018/978-1-4666-8183-5
Idioma
Inglés
Audiencia
Estudiantes
Investigadores
Repositorio Orígen
REPOSITORIO INSTITUCIONAL DE LA UAEM
Descargas
426