Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Carlos A. M. Pinheiro"'
Publikováno v:
Artificial Intelligence Review. 52:743-773
This paper proposes a two-stage model for forecasting financial time series. The first stage uses clustering methods in order to segment the time series into its various contexts. The second stage makes use of support vector regressions (SVRs), one f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8c6ca9dfa19183eda3e54878b18e261
https://doi.org/10.1007/s10462-018-9663-x
https://doi.org/10.1007/s10462-018-9663-x
Implementation of a Rough Controller with Proportional–Integral Action to Control a Nonlinear System
Publikováno v:
Journal of Control, Automation and Electrical Systems. 28:337-348
This paper addresses the implementation of a rough controller with proportional–integral action to control a nonlinear system. The system chosen was a level process. Through practical tests, mathematical models (linear and nonlinear) are obtained f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::716bee321cbbb7ff8a006563c73506d2
https://doi.org/10.1007/s40313-017-0302-6
https://doi.org/10.1007/s40313-017-0302-6
Publikováno v:
Automatica. 58:28-31
In this technical communique is presented a new design procedure that can be used to obtain analogous results to the continuous-time H ∞ / LTR control on the discrete-time case. By directly designing the controller on discrete-time, equivalent mixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1adf3505e2731b7bbc2c6e1620d72b5
https://doi.org/10.1016/j.automatica.2015.04.030
https://doi.org/10.1016/j.automatica.2015.04.030
Autor:
A. C. Zambroni de Souza, N. B. De Nadai, Francisco Portelinha, Carlos A. M. Pinheiro, Joao Guilherme de C. Costa
Publikováno v:
2017 IEEE Manchester PowerTech.
This paper aims to propose a secondary control algorithm based on Fuzzy Logic to adjust frequency and voltage in islanded microgrids. It is well-known, that, when a microgrid changes its operation from grid-connected to islanded mode, the time domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a82798e0c57d166d38307005d8cfee2
https://doi.org/10.1109/ptc.2017.7981212
https://doi.org/10.1109/ptc.2017.7981212
Publikováno v:
Engineering Applications of Artificial Intelligence. 26:2467-2479
This paper addresses a new approach to design rule-based controllers using concepts of rough sets and techniques of state feedback. The goal is to obtain rule-based models that allow the construction of control loops, ensuring stable conditions and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::862935c8ed2c01fe83a755e88b4493f0
https://doi.org/10.1016/j.engappai.2013.07.019
https://doi.org/10.1016/j.engappai.2013.07.019
Autor:
Fernando Gomide, Carlos A. M. Pinheiro
Publikováno v:
Anais do 4. Congresso Brasileiro de Redes Neurais.
O proposito deste artigo e introduzir uma metodologia de analise e projeto de controladores para processos nao lineares usando redes neurais e metodos de resposta em frequencia. Esta abo rdagem e baseada em nocoes fundamentais de e ngenharia d e c on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::742868e9041600c9c25221d893ae1100
https://doi.org/10.21528/cbrn1999-010
https://doi.org/10.21528/cbrn1999-010
Publikováno v:
Artificial Intelligence Review. 41:287-300
Prediction models based on artificial intelligence techniques have been widely used in Time Series Forecasting in several areas. They are often fuzzy models or neural networks. This paper describes the development of neural and fuzzy models for forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882316c5d7ad21e456ca8b80ba92260a
https://doi.org/10.1007/s10462-011-9308-9
https://doi.org/10.1007/s10462-011-9308-9
Publikováno v:
Artificial Intelligence Review. 38:163-171
This paper presents the study of three forecasting models—a multilayer percep- tron, a support vector machine, and a hierarchical model. The hierarchical model is made up of a self-organizing map and a support vector machine—the latter on top of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48e3ae3e8a19c3ee66606c7c04e3c5a
https://doi.org/10.1007/s10462-011-9275-1
https://doi.org/10.1007/s10462-011-9275-1
Publikováno v:
Artificial Intelligence Review. 36:299-310
Prediction models based on artificial intelligence techniques have been widely used in Time Series Forecasting in several areas. They are often fuzzy models or neural networks. However, the use of rough sets based models have not yet been explored. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f0ad425429b19e7c6f7a699418180f9
https://doi.org/10.1007/s10462-011-9215-0
https://doi.org/10.1007/s10462-011-9215-0
Autor:
Isaias Lima, Enzo Seraphim, Otavio A. S. Carpinteiro, J. Vantuil L. Pinto, Carlos A. M. Pinheiro, Edmilson M. Moreira
Publikováno v:
Neural Computing and Applications. 18:1057-1063
A novel hierarchical hybrid neural model to the problem of long-term load forecasting is proposed in this paper. The neural model is made up of two self-organizing map nets—one on top of the other—and a single-layer perceptron. It has application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c369072cca9ea62c850a3ead583f91eb
https://doi.org/10.1007/s00521-009-0290-y
https://doi.org/10.1007/s00521-009-0290-y