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A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A74734" target="_blank" >RIV/60460709:41330/17:74734 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s11269-017-1719-1" target="_blank" >http://dx.doi.org/10.1007/s11269-017-1719-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11269-017-1719-1" target="_blank" >10.1007/s11269-017-1719-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

  • Original language description

    Advancements in data acquisition, storage and retrieval are progressing at an extraordinary rate, whereas the same in the field of knowledge extraction from data is yet to be accomplished. The challenges associated with hydrological datasets, including complexity, non-linearity and multicollinearity, motivate the use of machine learning to build hydrological models. Increasing global climate change and urbanization call for better understanding of altered rainfall-runoff processes. There is a requirement that models are intelligible estimates of underlying physics, coupling explanatory and predictive components, maintaining parsimony and accuracy. Genetic Programming, an evolutionary computation technique has been used for short-term prediction and forecast in the field of hydrology. Advancing data science in hydrology can be achieved by tapping the full potential of GP in defining an evolutionary flexible modelling framework that balances prior information, simulation accuracy and strategy for futur

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    WATER RESOURCES MANAGEMENT

  • ISSN

    0920-4741

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    18

  • Pages from-to

    3975-3992

  • UT code for WoS article

    000407831200017

  • EID of the result in the Scopus database

    2-s2.0-85021845733