Artificial Neural Networks in Urban Runoff Forecast

被引：0
|
作者：
Miguelez, Monica [1 ]
Puertas, Jeronimo [2 ]
Ramon Rabunal, Juan [1 ,2 ]
机构：
[1] Univ A Coruna, Dept Informat & Commun Technol, Campus Elvina, La Coruna, Spain
[2] Univ A Coruna, CITEEC, A Couruna, Spain
来源：
BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1 | 2009年 / 5517卷
关键词：
Artificial Neural Network; Genetic Algorithms; Civil Engineering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the application of Data Mining is the extraction of knowledge from time series [1][2]. The Artificial Neural Networks (ANNs), one of the techniques of Artificial Intelligence (AI), have proved to be suitable in Data Mining for handling this type of series. This paper presents the use of ANNs and Genetic Algorithms (GA) with a time series in the field of Civil Engineering where the predictive structure does not follow the classic paradigms. In this specific case, the At technique is applied to a phenomenon that models the process where, for a specific area, the fallen rain concentrates and flows on the surface.
引用
收藏
页码：1192 / +
页数：2
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