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Publication search results
found 26 matches
- 2016
- Abel F. Alves, Hanniel F. S. Freitas, Cid M. G. Andrade, Mauro A. S. S. Ravagnani:
MPC, objective function with economic cost. EAIS 2016: 157-161 - Goran Andonovski, Gasper Music, Saso Blazic, Igor Skrjanc:
Evolving fuzzy model based performance identification for production control. EAIS 2016: 85-91 - Csilla Bányász, László Keviczky:
Evolving controller design for decoupled multivariate plants. EAIS 2016: 22-26 - Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes, Plamen Parvanov Angelov:
A new evolving clustering algorithm for online data streams. EAIS 2016: 162-168 - Frederico Damasceno Bortoloti, Patrick Marques Ciarelli:
Achieving semi-supervised incremental learning with Learn++ and simple recycled selection. EAIS 2016: 138-145 - Egidio Carvalho, Omar Andrés Carmona Cortes, João Pedro Costa, Andrew Rau-Chaplin:
A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems. EAIS 2016: 130-137 - Clayton Maciel Costa, Cicilia Raquel Maia Leite, António Luís Sousa:
Efficient SQL adaptive query processing in cloud databases systems. EAIS 2016: 114-121 - Dejan Dovzan, Igor Skrjanc:
Evolving fuzzy model for short-term prediction of energy consumption profiles. EAIS 2016: 98-102 - Orlando Donato Rocha Filho, Ginalber Luiz de Oliveira Serra:
Evolving fuzzy clustering algorithm based on maximum likelihood with participatory learning. EAIS 2016: 65-72 - Joyce M. F. Fonseca, Bruno M. Sousa, Webber E. Aguiar, Anisio R. Braga, André P. Lemos, Hugo C. C. Michel, Carmela M. P. Braga:
Monitoring of a thermoelectric power plant based on multivariate statistical process control. EAIS 2016: 49-56 - Nestor Rocha Monte Fontenele, Lucas Silveira Melo, Ruth Pastôra Saraiva Leão, Raimundo Furtado Sampaio:
Application of Multi-objective Evolutionary Algorithms in automatic restoration of radial power distribution systems. EAIS 2016: 33-40 - Hanniel F. S. Freitas, Cid M. G. Andrade:
Model-based optimization of in-silico fed-batch ethanol production process using genetic algorithm. EAIS 2016: 151-156 - Xiaowei Gu, Plamen P. Angelov, Azliza Mohd Ali, William A. Gruver, Georgi Gaydadjiev:
Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream. EAIS 2016: 169-175 - João P. F. Guimarães, Aluisio I. Rêgo Fontes, Joilson B. A. Rego, Luiz Felipe Q. Silveira, Allan de M. Martins:
Performance evaluation of the maximum correntropy criterion in identification systems. EAIS 2016: 110-113 - László Keviczky, Csilla Bányász:
Evolving iterative methods for simultaneous identification and control. EAIS 2016: 27-32 - Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Evolving possibilistic fuzzy modeling for equity options pricing. EAIS 2016: 57-64 - Janaina Figueira Marchesi, Marco Aurélio Cavalcanti Pacheco:
A genetic algorithm approach for the master surgical schedule problem. EAIS 2016: 17-21 - Enrique Martínez Miranda, Peter McBurney, Matthew J. Howard:
Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective. EAIS 2016: 103-109 - José Pinheiro de Moura, João Viana da Fonseca Neto:
Fuzzy controller in the cargo control wagons dump. EAIS 2016: 10-16 - Guilherme G. Netto, Alexandre C. Barbosa, Mateus N. Coelho, Arthur R. L. Miranda, Vitor Nazário Coelho, Marcone J. F. Souza, Frederico G. Guimarães, Agnaldo J. Rocha Reis:
A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast. EAIS 2016: 73-78 - Sidnei Nicoli, Romulo Gonçalves Lins, José Antônio Jardini:
Supplementary decision system for messages coming from the interpretation of anomalies in time series. EAIS 2016: 41-48 - Selmo Eduardo Rodrigues, Ginalber Luiz de Oliveira Serra:
An evolving algorithm based on unobservable components neuro-fuzzy model for time series forecasting. EAIS 2016: 122-129 - Sender Rocha dos Santos, Jorge L. M. Amaral, José Franco Machado do Amaral:
Adaptive intelligent systems applied to two-wheeled robot. EAIS 2016: 146-150 - Thais Tóssoli De Sousa, Vitor Torquato Arioli, Cesar Sobral Vieira, Sender Rocha dos Santos, Alex Pereira Franca:
Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms. EAIS 2016: 79-84 - Thiago Wiezbicki, Eduardo Parente Ribeiro:
Sensor drift compensation using weighted neural networks. EAIS 2016: 92-97 - 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2016, Natal, Brazil, May 23-25, 2016. IEEE 2016, ISBN 978-1-5090-2583-1 [contents]
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