Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/8090
Título: | Real-time intelligent decision support system for bridges structures behavior prediction |
Autor(es): | Quintela, Hélder Santos, Manuel Filipe Cortez, Paulo |
Palavras-chave: | Knowledge discovery in databases Data mining Decision trees Neural networks Intelligent decision support systems Civil engineering structures |
Data: | Dez-2007 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Citação: | NEVES, José; SANTOS, Manuel Filipe; MACHADO, José Manuel, ed. lit. – “Progress in artificial intelligence : proceedings of the Portuguese Conference on Artificial Intelligence (EPIA), 13, Guimarães, Portugal, 2007”. Berlin : Springer, 2007. ISBN 978-3-540-77000-8. p. 124-132. |
Resumo(s): | There is an increasing need of deploying automatic real-time decision support systems for civil engineering structures, making use of prediction models based in Artificial Intelligence techniques (e.g., Artificial Neural Networks) to support the monitoring and prediction activities. Past experiments with Data Mining (DM) techniques and tools opened room for the development of such a real-time Decision Support System. However, it is necessary to test this approach in a real environment, using real-time sensors monitoring. This study presents the development of prediction models for structures behavior and a novel architecture for operating in a real-time system. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/8090 |
ISBN: | 978-3-540-77000-8 |
ISSN: | 0302-9743 |
Versão da editora: | The original publication is available at www.springerlink.com http://www.springerlink.com/content/p27736q873760542/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DSI - Engenharia da Programação e dos Sistemas Informáticos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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epia_haqmfspc_cr.pdf | Main article (pre-print) | 308,83 kB | Adobe PDF | Ver/Abrir |