Listar por tema "Neural networks"
Mostrando ítems 1-5 de 5
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A new approach to visual-based sensory system for navigation into orange groves
MDPI Publishing (2011-04-06)One of the most important parts of an autonomous robot is to establish the path by which it should navigate in order to successfully achieve its goals. In the case of agricultural robotics, a procedure that determines this ... -
Análisis y modelización de los procesos de aprendizaje profundo
Universitat Jaume I (2024-03-22)El objetivo de esta tesis es el diseño, implementación y validación experimental de soluciones software paralelas para el aprendizaje automático mediante redes neuronales profundas (RNPs). Estos estudios abordan tres ... -
Deep learning-based forecasting of aggregated CSP production
Elsevier (2020-02-25)This paper introduces deep learning-based forecasting models for the continuous prediction of the aggregated production generated by CSP plants in Spain. These models use as inputs the expected top of atmosphere ... -
Deep learning-based forecasting of the automatic Frequency Reserve Restoration band price in the Iberian electricity market
Elsevier (2023)The replacement of conventional and dispatchable generation technologies by intermittent renewable energy sources increases the need for ancillary services. New agents, such as batteries, may join frequency regulation ... -
On the use of area-averaged void fraction and local bubble chord length entropies as two- phase flow regime indicators
Springer Verlag (2010)In this work, the use of the area-averaged void fraction and bubble chord length entropies is introduced as flow regime indicators in two-phase flow systems. The entropy provides quantitative information about the disorder ...