Jorge Dantas de Melo

发表

A neural network multiagent architecture applied to fieldbus intelligent control

Adrião Duarte Dória Neto, Vinicius Ponte Machado, Jorge Dantas de Melo, 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks

Adrião Duarte Dória Neto, Vinicius Ponte Machado, Jorge Dantas de Melo, 2010, IEEE Transactions on Industrial Electronics.

Q-Managed: A new algorithm for a multiobjective reinforcement learning

Jorge Dantas de Melo, Thiago Henrique Freire de Oliveira, Luiz Paulo de Souza Medeiros, 2020, Expert Syst. Appl..

An genetic approach to Support Vector Machines in classification problems

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Carlos Alberto de Araújo Padilha, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning

Adrião Duarte Dória Neto, Jorge Dantas de Melo, João Paulo Queiroz dos Santos, 2009, 2009 International Joint Conference on Neural Networks.

Hierarchical reinforcement learning for metrical task systems

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Manoel Junior Leandro de Lima, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Implementation and Evaluation of Modular Neural Networks in a Multiple Processor System on Chip to Classify Electric Disturbance

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Rafael Marrocos Magalhães, 2009, 2009 International Conference on Computational Science and Engineering.

Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Francisco Chagas de Lima, 2007, 2007 International Joint Conference on Neural Networks.

Evolutionary Computation and Parallel Processing Applied to the Design of Multilayer Perceptrons

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Ana Claudia M. L. Albuquerque, 2005 .

IMPLEMENTAÇÃO DE UMA REDE NEURAL ARTIFICIAL EM FPGA: APLICAÇÃO DA MLP COMO ARQUITETURA MODULAR

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Carlos Alberto de Albuquerque Silva, 2016 .

FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems

Adrião Duarte Dória Neto, Jorge Dantas de Melo, R. N. A. Prado, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A Multiagent Architecture Based in aFoundation Fieldbus Network Function Blocks

Adrião Duarte Dória Neto, Vinicius Ponte Machado, Jorge Dantas de Melo, 2010 .

Uma Abordagem utilizando Redes Neurais Fuzzy ART e Aprendizagem por Reforço para o Problema dos k-servos

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Mademerson Leandro da Costa, 2016 .

Auto-Compensação de Sensores Foundation Fieldbus utilizando Redes Neurais Recorrentes através de Blocos Funcionais

Adrião Duarte Dória Neto, Jorge Dantas de Melo, David Ricardo do V. Pereira, 2016 .

Deep reinforcement learning applied to the k-server problem

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Ramon Augusto Sousa Lins, 2019, Expert Syst. Appl..

Filtragem de Ruídos Utilizando FastICA Implementado por Blocos Funcionais Foundation Fieldbus

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Gaudio Vinicius Lopes Besch, 2016 .

Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Thiago Henrique Freire de Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search

Adrião Duarte Dória Neto, Daniel Aloise, Jorge Dantas de Melo, 2014, Expert Syst. Appl..

ARTMAP with Modified Internal Category Geometry to Reduce the Category Proliferation

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Carlos Alberto de Araújo Padilha, 2012, IJCCI.

Uma estratégia de Poda de Vizinhos para Treinamento de Redes de Kohonen em Multi-Resolução

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Agostinho de Medeiros Brito Júnior, 2016 .

A neural network based algorithm for complex pattern classification problems

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de M. Martins, 2004 .

Algoritmo Genético Paralelo com Diferentes Comportamentos Populacionais para o Treinamento de Perceptrons de Múltiplas Camadas

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Ana Claudia M. L. Albuquerque, 2016 .

A Neural Network Algorithm for Complex Pattern Classification Problems

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de M. Martins, 2016 .

RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Carlos Alberto de Araújo Padilha, 2012, IDEAL.

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Anthony A. R. Diniz, 2011, The 2011 International Joint Conference on Neural Networks.

Semantic alarm correlation based on ontologies

Adrião Duarte Dória Neto, Luiz Affonso Guedes, Jorge Dantas de Melo, 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

Proposal for Improvement of GRASP Metaheuristic and Genetic Algorithm Using the Q-Learning Algorithm

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Francisco Chagas de Lima, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Comparative study on dimension reduction techniques for cluster analysis of microarray data

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins, 2011, The 2011 International Joint Conference on Neural Networks.

Creating an ensemble of diverse support vector machines using Adaboost

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Naiyan Hari Cândido Lima, 2009, 2009 International Joint Conference on Neural Networks.

Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Anthony A. R. Diniz, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

A Parallel Hybrid Implementation Using Genetic Algorithms, GRASP and Reinforcement Learning for the Salesman Traveling Problem

Adrião Duarte Dória Neto, Jorge Dantas de Melo, João Paulo Queiroz dos Santos, 2010 .

Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Carlos Alberto de Araújo Padilha, 2012, ICANN.

Hierarchical Reinforcement Learning and Parallel Computing Applied to the k-server Problem

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Mademerson Leandro da Costa, 2016 .

Parallel genetic algorithm with different evolution behavior for multilayer perceptrons design and learning

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Ana Claudia M. L. Albuquerque, 2004 .

An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Luiz Marcos Garcia Gonçalves, 2008, IEEE Trans. Neural Networks.

Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Francisco Chagas de Lima, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Clustering Using Elements of Information Theory

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins, 2010, ICANN.

Hybrid Metaheuristics Using Reinforcement Learning Applied to Salesman Traveling Problem

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Francisco Chagas de Lima Júnior, 2010 .

Implementação de Redes Neurais Artificiais em Ambientes de Redes Industriais Foundation Fieldbus com o uso de Blocos Funcionais Padrões

Adrião Duarte Dória Neto, Luiz Affonso Guedes, Jorge Dantas de Melo, 2016 .

Overhead-Controlled Routing in WSNs with Reinforcement Learning

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Leonardo R. S. Campos, 2012, IDEAL.

Q-Managed: A new algorithm for a multiobjective reinforcement learning

Adrião Duarte Dória Neto, Jorge Dantas de Melo, Thiago Henrique Freire de Oliveira, 2021, Softw. Impacts.