Genetic Programming Based Approach Towards Understanding the Dynamics of Urban Rainfall-runoff Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F16%3A71164" target="_blank" >RIV/60460709:41330/16:71164 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.proeng.2016.07.601" target="_blank" >http://dx.doi.org/10.1016/j.proeng.2016.07.601</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.proeng.2016.07.601" target="_blank" >10.1016/j.proeng.2016.07.601</a>
Alternative languages
Result language
angličtina
Original language name
Genetic Programming Based Approach Towards Understanding the Dynamics of Urban Rainfall-runoff Process
Original language description
Genetic Programming (GP) is an evolutionary-algorithm based methodology that is the best suited to model non-linear dynamic systems. The potential of GP has not been exploited to the fullest extent in the field of hydrology to understand the complex dynamics involved. The state of the art applications of GP in hydrological modelling involve the use of GP as a short-term prediction and forecast tool rather than as a framework for the development of a better model that can handle current challenges. In today is scenario, with increasing monitoring programmes and computational power, the techniques like GP can be employed for the development and evaluation of hydrological models, balancing, prior information, model complexity, and parameter and output uncertainty. In this study, GP based data driven model in a single and multi-objective framework is trained to capture the dynamics of the urban rainfall-runoff process using a series of tanks, where each tank is a storage unit in a watershed that correspo
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DA - Hydrology and limnology
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Procedia Engineering
ISSN
1877-7058
e-ISSN
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Volume of the periodical
2016
Issue of the periodical within the volume
154
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
1093-1102
UT code for WoS article
000385793200147
EID of the result in the Scopus database
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