Comparison of machine learning methods for dry biomass estimation based on green logging residues chips

Autor:	Eduardo Acuña, Rodrigo De la Fuente, Jorge Cancino
Rok vydání:	2021
Předmět:	Artificial neural network Work (electrical) Computer science business.industry Logging Biomass Artificial intelligence Machine learning computer.software_genre business computer
Zdroj:	International Journal of Forest Engineering. 32:174-184
ISSN:	1913-2220 1494-2119
DOI:	10.1080/14942119.2021.1892415
Popis:	This work shows how modern machine learning techniques can be used to solve current problems faced by the forestry industry. More specifically, the focus is on comparing the predictive performance ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e2781ff7ea299f7f30aa54490f7f9507 https://doi.org/10.1080/14942119.2021.1892415 Zobrazit plný text záznamu