A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes

A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes

Cultural landscapes are regarded to be complex socioecological systems that originated as a result of the interaction between humanity and nature across time. Cultural landscapes present complex-system properties, including nonlinear dynamics among their components. There is a close relationship bet...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Maldonado González, Ana Devaki, Ramos López, Darío, Aguilera Aguilera, Pedro
Aineistotyyppi: info:eu-repo/semantics/article
Kieli:English
Julkaistu: MDPI 2020
Aiheet:
cultural landscapes
socioeconomic indicators
multiple linear regression
model trees
neural networks
probabilistic graphical models
Linkit:http://hdl.handle.net/10835/7538

Internet

http://hdl.handle.net/10835/7538

Samankaltaisia teoksia