Hybrid System with Artificial Neural Networks and Evolutionary Computation in Civil Engineering

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Author(s): Juan R. Rabunal (University of A Coruna, Spain)and Jerónimo Puertas (University of A Coruna, Spain)
Copyright: 2008
Pages: 18
Source title: Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-59904-941-0.ch062

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

This chapter proposes an application of two techniques of artificial intelligence in a civil engineering area: the artificial neural networks (ANN) and the evolutionary computation (EC). In this chapter, it is shown how these two techniques can work together in order to solve a problem in hydrology. This problem consists on modeling the effect of rain on the runoff flow in a typical urban basin. The ultimate goal is to design a real-time alarm system for floods or subsidence warning in various types of urban basins. A case study is included as an example.

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Hybrid System with Artificial Neural Networks and Evolutionary Computation in Civil Engineering

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