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CUESTA CORDOBA, G.
Originální název
Using of artificial neural network for evaluation and prediction of some drinking water quality parameters within a water distribution system
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The project is focus on the methods for evaluation the available historical data of water quality and the investigation of the impact for selected physical parameters of water quality and its development in a water distribution system. It will be solved by creating a model using data-driven methods to identify and predict the evolution of selected water quality parameters. The wide open used data-driven methods in water management are Multiple Linear Regression (MLR) based on the least square approach and Multi Layer Perceptron (MLP), which is an Artificial Neural Network (ANN) architecture capable of predict any continues variable. The performance of MLP and MLR are evaluated using 4-years old database set of inputs collected in the city of Našiměřice Czech Republic. The first part of the paper shows a summary of the state of the knowledge in modeling using ANN and the second part describes the collection of data and construction of the models.
Klíčová slova
distribution system, neural network
Autoři
Rok RIV
2011
Vydáno
4. 2. 2011
Nakladatel
VUT v Brně, Fakulta stavební
Místo
Brno, ČR
ISBN
978-80-214-4232-0
Kniha
JUNIORSTAV 2011
Edice
1
Číslo edice
Strany od
243
Strany do
253
Strany počet
11
BibTex
@inproceedings{BUT36355, author="Gustavo Andres {Cuesta Cordoba}", title="Using of artificial neural network for evaluation and prediction of some drinking water quality parameters within a water distribution system", booktitle="JUNIORSTAV 2011", year="2011", series="1", number="1", pages="243--253", publisher="VUT v Brně, Fakulta stavební", address="Brno, ČR", isbn="978-80-214-4232-0" }