✦ LIBER ✦

Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks

✍ Scribed by J. R. Rabuñal; J. Puertas; J. Suárez; D. Rivero

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 444 KB
Volume: 21
Category: Article
ISSN: 0885-6087
DOI: 10.1002/hyp.6250

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

An application of genetic programming (GP) and artificial neural networks (ANNs) in hydrology is proposed, showing how these two techniques can work together to solve the problem of modelling the effect of rain on the runoff flow in a typical urban basin. The ability of GP to include the physical basis of a problem and even to analyse the results is discussed, and a case study is included as an example. We propose a solution to this problem by using an ANN for the prediction of the daily flow due to human activity of the citizens and the use of GP for the prediction of the flow rate resulting from the rain. Finally, it is shown that the methodology can be used to solve similar problems by combining both techniques. Copyright © 2006 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

The institutional determinants of CO2 em

The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming

✍ Marcos Álvarez-Díaz; Gonzalo Caballero-Miguez; Mario Soliño 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 156 KB

Simultaneous determination of glucose, f

Simultaneous determination of glucose, fructose and lactose in food samples using a continuous-flow chemiluminescence method with the aid of artificial neural networks

✍ Baoxin Li; Yuezhen He 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 264 KB 👁 2 views

A simple and efficient approach to train

A simple and efficient approach to train artificial neural networks using a genetic algorithm to calculate the resonant frequency of an RMA on thick substrate

✍ Bonomali Khuntia; Shyam S. Pattnaik; Dhruba C. Panda; Dipak K. Neog; S. Devi; Ma 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB 👁 1 views

## Abstract Both genetic algorithms (GAs) and artificial neural networks (ANNs) have been used in the field of computational electromagnetics as the most powerful optimizing tools. In this paper, a simple and efficient method is presented to handle the problem of competing convention while training