Comparison of machine learning techniques for reservoir outflow forecasting

Autor: O. García-Feal, J. González-Cao, D. Fernández-Nóvoa, G. Astray Dopazo, M. Gómez-Gesteira

Publikováno v: Natural Hazards and Earth System Sciences, Vol 22, Pp 3859-3874 (2022)

Reservoirs play a key role in many human societies due to their capability to manage water resources. In addition to their role in water supply and hydropower production, their ability to retain water and control the flow makes them a valuable asset

Externí odkaz: https://doaj.org/article/e4b75de4052b49619ee365f9f3393644

Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs).

Autor: Hernández Suárez M; Aula Dei Scientific Technological Park Foundation, Zaragoza, Spain., Astray Dopazo G; Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, United States of America; Department of Physical Chemistry, Faculty of Science, University of Vigo, Ourense, Spain., Larios López D; Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, United States of America., Espinosa F; Department of Plant Physiology, Ecology and Earth Sciences, Faculty of Science, Extremadura University, Badajoz, Spain.

Publikováno v: PloS one [PLoS One] 2015 Jun 15; Vol. 10 (6), pp. e0128566. Date of Electronic Publication: 2015 Jun 15 (Print Publication: 2015).