2026-08-26T07:58:56Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1343662025-04-30T20:37:16Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Gestión del Repositorio Documental de la Universidad de Salamanca
author
López, Vivian
author
Medina, Santo L.
author
De Paz, Juan F.
2017-09-05T11:01:32Z
2017-09-05T11:01:32Z
2012
Expert Systems with Applications. Volumen 39 (11), pp. 10031-10037. Elsevier BV.
0957-4174 (Print)
http://hdl.handle.net/10366/134366
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.
en
Computer Science
Taranis: Neural networks and intelligent agents in the early warning against floods
info:eu-repo/semantics/article
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1-s2.0-s0957417412002783-main.pdf.txt