Zobrazeno 1 - 10
of 1 917
pro vyhledávání: '"Model complexity"'
Autor:
Aijun Yan, Shixiao He
Publikováno v:
Industrial Artificial Intelligence, Vol 2, Iss 1, Pp 1-11 (2024)
Abstract To solve the problems of the low efficiency of parameter allocation and time-consuming computation of output weights in the hidden layers of stochastic configuration networks (SCNs), an optimization method is proposed to improve the SCNs con
Externí odkaz:
https://doaj.org/article/bf2829c1f6a545c3aca25ce16bfb1fd4
Autor:
Oumar Jaffar, Abdessamad Hadri, El Mahdi El Khalki, Khaoula Ait Naceur, Mohamed Elmehdi Saidi, Yves Tramblay, Abdelghani Chehbouni
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101899- (2024)
Study region: 30 catchments in Morocco. Study focus: We assessed the KGE performance of eight monthly lumped hydrological models forced by ground-based rainfall observations. We then examined how the performance relates to model complexity and struct
Externí odkaz:
https://doaj.org/article/2e9211e61a914782bdaf9e94a2e9ddd9
Publikováno v:
Hydrology Research, Vol 55, Iss 3, Pp 263-279 (2024)
This study addresses the critical need for reliable groundwater recharge quantification by investigating the uncertainty associated with recharge estimation based on various combinations of model complexity and objective functions. Focusing on the Ho
Externí odkaz:
https://doaj.org/article/b43592c9c62c448c865b2f01e0e10c81
Autor:
Oyedare, Taiwo Remilekun
The wireless spectrum is limited and the demand for its use is increasing due to technological advancements in wireless communication, resulting in persistent interference issues. Despite progress in addressing interference, it remains a challenge fo
Externí odkaz:
https://hdl.handle.net/10919/118405
Publikováno v:
PeerJ Computer Science, Vol 10, p e1878 (2024)
Hyperparameter tuning plays a pivotal role in the accuracy and reliability of convolutional neural network (CNN) models used in brain tumor diagnosis. These hyperparameters exert control over various aspects of the neural network, encompassing featur
Externí odkaz:
https://doaj.org/article/489ceeb078f149c4b2f87d0476fd623d
Publikováno v:
Climate Services, Vol 32, Iss , Pp 100424- (2023)
Damage costs from coastal flooding are high and are expected to increase further due to rising sea levels. The associated risks suggest a need for developing methodologies and models to assess damage costs in coastal areas as a basis for decision-mak
Externí odkaz:
https://doaj.org/article/c923ec2dd8834607bc51b8e48b3380a5
Publikováno v:
Ecology and Evolution, Vol 13, Iss 11, Pp n/a-n/a (2023)
Abstract How to effectively obtain species‐related low‐dimensional data from massive environmental variables has become an urgent problem for species distribution models (SDMs). In this study, we will explore whether dimensionality reduction on e
Externí odkaz:
https://doaj.org/article/d466a2cb75fc4c18a8a55fef8b083794
Autor:
Laura A. Mansfield, Aman Gupta, Adam C. Burnett, Brian Green, Catherine Wilka, Aditi Sheshadri
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract The climate model hierarchy encompasses models of varying complexity along different axes, ranging from idealized models that elegantly describe isolated mechanisms to fully coupled Earth system models that aspire to provide useable climate
Externí odkaz:
https://doaj.org/article/c475484da99446a281c10c60d50fe27d
Autor:
Coman, Andra, Fodor, Oana C.
Publikováno v:
Team Performance Management: An International Journal, 2022, Vol. 28, Issue 3/4, pp. 238-259.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TPM-09-2021-0069
Publikováno v:
Infrastructures, Vol 9, Iss 1, p 10 (2024)
This study addresses the vital issue of the variability associated with modeling decisions in dam seismic analysis. Traditionally, structural modeling and simulations employ a progressive approach, where more complex models are gradually incorporated
Externí odkaz:
https://doaj.org/article/300404a6be334767a254a25eb4d198cb