Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
, 2008 A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
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Improvement of flight simulator feeling using adaptive fuzzy backlash compensation [PDF]
, 2007 In this paper we addressed the problem of improving the control of DC motors used for the specific application of a 3 degrees of freedom moving base flight simulator.
Bordeneuve-Guibé, Joël, Amara, Zied
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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]
, 2011 When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
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Visualização Interactiva de Propriedades Temporais de Filmes
, 2020 Os vídeos e os filmes, além de terem o poder de nos afectar emocional e cognitivamente, constituem importantes fontes de informação no que respeita ao entretenimento e à aprendizagem.
Chambel, Teresa, Jorge, Ana
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Os Perspectógrafos de Dürer na educação matemática: história, geometria e visualização [PDF]
, 2012 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Programa de Pós-Graduação em Educação Científica e Tecnológica, Florianópolis, 2009No presente trabalho, fazemos um estudo sobre os perspectógrafos de Albrecht Dürer, que durante o ...
Meneguzzi, Thatieli
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BEHAVIOR BASED CONTROL AND FUZZY Q-LEARNING FOR AUTONOMOUS FIVE LEGS ROBOT NAVIGATION [PDF]
, 2009 This paper presents collaboration of behavior based control and fuzzy Q-learning for five legs robot navigation systems. There are many fuzzy Q-learning algorithms that have been proposed to yield individual behavior like obstacle avoidance, find target ...
Adil, Ratna
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Designing a successful trading agent using fuzzy techniques
, 2004 Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what ...
He, M. +3 more
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EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR [PDF]
, 2009 Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
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Implementing imperfect information in fuzzy databases [PDF]
, 2005 Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inherent imperfect nature of real-world will undoubtedly introduce some deformation of human perception of real-world and may eliminate several substantial ...
Naija, Y. +5 more
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