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SBRN 2008: Accepted Papers

 

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-Regressors	Silvio Guerra Ricardo Prudêncio Teresa Ludermir
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach	Patrícia dos Santos Teresa Ludermir Ricardo Prudêncio
Using a Probabilistic Neural Network for a Large Multi-label Problem	Elias Oliveira
Improving Support of Appropriate Executive Decisions by Combining Artificial Immune Systems and Fuzzy Logic	Bernardo Caldas Flávio Oliveira Fernando Buarque de Lima Neto
Applying Neural Networks to Control Gait of Simulated Robots	Milton Heinen Fernando Osório
The Growing Self-Organizing Surface Map: Improvements	Vilson Mole Aluizio Araújo
Neurons and neural fuzzy networks based on nullnorms	Michel Hell Pyramo Pires Fernando Gomide
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer	José Borges, Igor Couto Tales Imbiriba Fabíola Oliveira Aldebaro Klautau Edward Bruckert
Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems	Renato Tinós, Luiz Otavio Murta Junior
A Solution of Dynamic Vehicle Routing Problem via Ant Colony System Metaheuristic	Sabrina Moreira de Oliveira Sérgio Souza Maria Amélia Lopes Silva
Optimization of the Area Under the ROC Curve	Cristiano Castro, Antônio Braga
Controlling Chaos in Elman Network	Gustavo Melo Aluizio Araújo
Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering	Eduardo Simas José Manoel de Seixas Luiz Calôba
A multi-objective learning algorithm for RBF neural network	Illya Kokshenev Antônio Braga
Applying Static and Dynamic Weight Measures in Ensemble Systems	Raul Paradeda Joao Carlos Xavier Junior, Anne Canuto
Structural and Parametric Evolution of Continuous-time Recurrent Neural Networks	Cesar Miguel, Carolina Feher da Silva Marcio Netto
Binary Tree Decomposition of Multiclass Problems	Ana Lorena André Ponce de Leon F de Carvalho
Weightless Neural Networks: Knowledge-based Inference System	Teresa Ludermir Marcilio de Souto Wilson de Oliveira
Multi-Label Text Categorization using VG-RAM Weightless Neural Networks	Claudine Gonçalves Felipe Pedroni Alberto De Souza
Combining distances through an auto-encoder network to verify signatures	Milena Souza Leandro Almeida George Cavalcanti
Hierarchical Agglomerative Clustering of Short-Circuit Faults in Transmission Lines	Claudomir Cardoso Yomara Pires Jefferson Morais Aldebaro Klautau
Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing	Eric Antonelo Benjamin Schrauwen Dirk Stroobandt
A neural network generating adaptive rhythms for controlling Behavior Based Robotic Systems	Ernesto Burattini Massimo De Gregorio, Silvia Rossi
Neural Control Applied to the Problem of Trajectory Tracking of Mobile Robots with Uncertainties	Nardenio Martins Douglas Wildgrube Bertol Ebrahim El''youssef Warody Lombardi Edson De Pieri
Bio-inspired Optimization Techniques for SVM Parameter Tuning	André Rossi André Ponce de Leon F de Carvalho
Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process	Rosana Soares Adriana Rosa Garcez Castro Roberto Célio Limão de Oliveira Vladimiro Miranda
Searching for a cryptographic model based on the pre-image calculus of cellular automata	Heverton Macedo Gina Oliveira
A Strategy for the Selection of Solutions of the Pareto Front Approximation in Multi-Objective Clustering Approaches	Katti Faceli Marcilio de Souto André Ponce de Leon F de Carvalho
A Methodology using Neural Networks to Cluster Validity Discovered from a Marketing Database	Renato Sassi Leandro Silva, Emilio Del-Moral-Hernandez
A Method to Detect Novelty in Time Series by Bata Clustering and Prediction	Leonardo Aguayo Guilherme Barreto
Automatic Information Extraction in Semi-Structured Official Journals	Valmir Macário Ricardo Prudêncio Francisco De Carvalho, Leandro Rodriguez Torres Laerte Rodrigues Júnior Marcos Lima
On Frequency Sensitive Competitive Learning for VQ Codebook Design	Paulo Espírito Santo Rebecca Albuquerque Daniel Cunha Francisco Madeiro Bernardino Junior
Multi-Ring Particle Swarm Optimization	Carmelo Bastos-Filho Marcel Caraciolo Péricles Miranda Danilo Carvalho
Easy efficiency-enhancement techniques for the ECGA	Vinicius Melo Alexandre Delbem
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping	Lamartine Teixeira Felipe Oliveira Adriano Oliveira Carmelo Bastos
Quantum Logical Neural Networks	Wilson de Oliveira Adenilton da Silva Amanda Leonel Wilson Galindo Jefferson Pereira