Taranis: Neural networks and intelligent agents in the early warning against floods


Abstract:

The following article proposes the implementation of a system based on neural networks of CounterPropagation type and intelligent agents for analysis and assessment of the risk of flood caused by rain, in addition to the implementation of agents in mobile devices for the presentation of alerts. Because as is known, natural phenomena have always existed, but in recent years as a result of global warming we have seen that floods are becoming more frequent, which has forced the creation of specialized agencies and intelligent mechanisms to prevent the loss of human lives due to these phenomena. © 2012 Elsevier Ltd. All rights reserved.

Año de publicación:

2012

Keywords:

  • dam
  • early warning system
  • Hydroelectric power
  • CouterPropagation
  • Agents
  • Neural networks
  • Sat
  • intelligent agents

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Inteligencia artificial
  • Hidrología
  • Ciencias de la computación

Áreas temáticas:

  • Métodos informáticos especiales
  • Otros problemas y servicios sociales
  • Otras ramas de la ingeniería