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Dam seepage analysis based on artificial neural networks: the hysteresis phenomenon
Cita
Santillán Sánchez, David; Fraile Ardanuy, José Jesús y Toledo Municio, Miguel Ángel (2013). Dam seepage analysis based on artificial neural networks: the hysteresis phenomenon. En: "2013 International Joint Conference on Neural Networks (IJCNN)", 04/08/2013 - 09/08/2013, Dallas, Texas, EE.UU. pp. 1-8. https://doi.org/10.1109/IJCNN.2013.6707110.
Descripción
| Título: | Dam seepage analysis based on artificial neural networks: the hysteresis phenomenon |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 2013 International Joint Conference on Neural Networks (IJCNN) |
| Fechas del Evento: | 04/08/2013 - 09/08/2013 |
| Lugar del Evento: | Dallas, Texas, EE.UU |
| Título del Libro: | 2013 International Joint Conference on Neural Networks (IJCNN) |
| Fecha: | 2013 |
| Materias: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Tecnologías Especiales Aplicadas a la Aeronáutica [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Seepage flow measurement is an important behavior indicator when providing information about dam performance. The main objective of this study is to analyze seepage by means of an artificial neural network model. The model is trained and validated with data measured at a case study. The dam behavior towards different water level changes is reproduced by the model and a hysteresis phenomenon detected and studied. Artificial neural network models are shown to be a powerful tool for predicting and understanding seepage phenomenon.
Más información
| ID de Registro: | 30159 |
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| Identificador DC: | http://oa.upm.es/30159/ |
| Identificador OAI: | oai:oa.upm.es:30159 |
| Identificador DOI: | 10.1109/IJCNN.2013.6707110 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6707110&tag=1 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 02 Ago 2014 11:39 |
| Ultima Modificación: | 17 Oct 2018 11:44 |
