Buscar
Mostrando ítems 1-10 de 17028
Uncertainty propagation in fuzzy grey cognitive maps with hebbian-like learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2019)
Learning to Control pH Processes at Multiple Time Scales
(The Berkeley Electronic Press, 2007-12)
This article presents a solution to pH control based on model-free learning control (MFLC). The MFLC technique is proposed because the algorithm gives a general solution for acid-base systems, yet is simple enough for ...
Towards a framework for corporate e-learning evaluation
(2007)
The main focus of current researches is on technological and pedagogical aspects of web based learning. However, e-learning is a complex process that incorporates organizational, administrative, instructional, and technological ...
Model-free learning control of neutralization processes using reinforcement learning
(Pergamon-Elsevier Science Ltd, 2007-09)
The pH process dynamic often exhibits severe nonlinear and time-varying behavior and therefore cannot be adequately controlled with a conventional PI control. This article discusses an alternative approach to pH process ...
The incidence of cooperative learning on the teaching and learning process in five-year old children
(QUITO / ESPE-IDIOMAS / 2008, 2008-07)
This research was carried out in Quito, at Comil 10 Abdón Calderón with first years of
E.G.B. The research was made with two sections, the one A and the other B, taking the first one as the experimental group and the ...
Decentralized reinforcement learning applied to mobile robots
(Springer, 2017)
In this paper, decentralized reinforcement learning is applied to a control problem with a multidimensional action space. We propose a decentralized reinforcement learning architecture for a mobile robot, where the individual ...
Aplicação de algoritmos de reinforcement learning para controle de nível de um tanqueApplication of reinforcement learning algorithms for tank level control
(Universidade Federal do Rio de JaneiroBrasilEscola PolitécnicaUFRJ, 2022)
Reinforcement and inference in cross-situational world learning
(Frontiers Research FoundationLausanne, 2013-11)
Cross-situational word learning is based on the notion that a learner can determine the referent of a word by finding something in common across many observed uses of that word. Here we propose an adaptive learning algorithm ...
Facilitating vocabulary learning through metacognitive strategy training and learning journals
(Colombian Applied Linguistics Journal, 2015)
This paper reports on a mixed- method action research study carried out with participants from three public high schools in different regions in Colombia: Bogotá, Orito and Tocaima. The overall aim of this study was to ...
The assessment of the quality of sugar using electronic tongue and machine learning algorithms
(2012-12-01)
The correct classification of sugar according to its physico-chemical characteristics directly influences the value of the product and its acceptance by the market. This study shows that using an electronic tongue system ...