Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Miriam López-Lineros"'
Publikováno v:
Sensors, Vol 21, Iss 19, p 6504 (2021)
In this paper, a Multi-Objective Genetic Algorithm (MOGA) framework for the design of Artificial Neural Network (ANN) models is used to design 1-step-ahead prediction models of river water levels. The design procedure is a near-automatic method that,
Externí odkaz:
https://doaj.org/article/cd1f0f604c884cc5a69c8442b5de25c9
Autor:
Antonio Madueño Luna, Miriam López Lineros, Javier Estévez Gualda, Juan Vicente Giráldez Cervera, José Miguel Madueño Luna
Publikováno v:
Sensors, Vol 20, Iss 21, p 6354 (2020)
Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular
Externí odkaz:
https://doaj.org/article/ef182f01969d430d83b2c75c49f6fceb
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6504, p 6504 (2021)
Sensors
Volume 21
Issue 19
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors, Vol 21, Iss 6504, p 6504 (2021)
Sensors
Volume 21
Issue 19
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
In this paper, a Multi-Objective Genetic Algorithm (MOGA) framework for the design of Artificial Neural Network (ANN) models is used to design 1-step-ahead prediction models of river water levels. The design procedure is a near-automatic method that,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9388a4fc79f9bb45f3ca870dc3d80c4
http://europepmc.org/articles/PMC8512320
http://europepmc.org/articles/PMC8512320
Autor:
Miriam López Lineros, Antonio Madueño Luna, Javier Estévez Gualda, Juan Vicente Giráldez Cervera, José Miguel Madueño Luna
Publikováno v:
Sensors, Vol 20, Iss 6354, p 6354 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 21
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 21
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33bcd44ecc167630075ef653f08d5993
https://www.mdpi.com/1424-8220/20/21/6354
https://www.mdpi.com/1424-8220/20/21/6354
Autor:
José Tejero-Manzanares, Meritxell Justicia-Segovia, José Moreno-Fresno Juan, Emilio Ramírez-Juidías, Antonio Madueño-Luna, Miriam López-Lineros
Publikováno v:
Advances in Computer Science Research.
The Tinto Marshes is a natural area located at the mouth of the Tinto's river (Huelva, Spain), being, in size, the third largest wetland in the province of Huelva after Donana and Odiel salt-marshes. Due to its special topography, as they are charact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c317ef8ed730a20a0f9a5fb0aee4015e
https://doi.org/10.2991/cas-15.2015.26
https://doi.org/10.2991/cas-15.2015.26