35 registros retornados

• Sassi, R.J.,  da Silva, L.A.,  Del Hernandez, E..  A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database.  3 - 8

• Kokshenev, I.,  Braga, A.P..  A Multi-objective Learning Algorithm for RBF Neural Network.  9 - 14

• Burattini, E.,  Rossi, S.,  De Gregorio, M..  A Neural Network Generating Adaptive Rhythms for Controlling Behavior Based Robotic Systems.  15 - 20

• Oliveira, S.,  de Souza, S.R.,  Silva, M.A.L..  A Solution of Dynamic Vehicle Routing Problem with Time Window via Ant Colony System Metaheuristic.  21 - 26

• Faceli, K.,  de Souto, M.C.P.,  de Carvalho, A.C.P.L.F..  A Strategy for the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches.  27 - 32

• Teixeira, L.A.,  Oliveira, F.T.G.,  Oliveira, A.L.I.,  Filho, C..  Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping.  33 - 38

• Heinen, M.R.,  Osorio, F.S..  Applying Neural Networks to Control Gait of Simulated Robots.  39 - 44

• Paradeda, R.,  Xavier, J.C.,  Canuto, A.M.P..  Applying Static and Dynamic Weight Measures in Ensemble Systems.  45 - 50

• Filho, V.M.,  Prudencio, R.B.C.,  de Carvalho, F.A.T.,  Torres, L.R..  Automatic Information Extraction in Semi-structured Official Journals.  51 - 56

• Rossi, A.L.D.,  de Carvalho, A.C.P..  Bio-inspired Optimization Techniques for SVM Parameter Tuning.  57 - 62

• Souza, M.R.P.,  Almeida, L.R.,  Cavalcanti, G.D.C..  Combining Distances through an Auto-Encoder Network to Verify Signatures.  63 - 68

• de Melo, V.V.,  Delbem, A.C.B..  Easy Efficiency-Enhancement Technique for the ECGA.  69 - 74

• de Soares, R.P.,  Castro, A.R.G.,  de Oliveira, R.C.L.,  Miranda, V..  Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process.  75 - 80

• Borges, J.,  Couto, I.,  Oliveira, F.,  Imbiriba, T.,  Klautau, A.,  Bruckert, E..  GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer.  81 - 86

• Cardoso, C.,  Pires, Y.,  Morais, J.,  Klautau, A..  Hierarchical Agglomerative Clustering of Short-Circuit Faults in Transmission Lines.  87 - 92

• Antonelo, E.A.,  Schrauwen, B.,  Stroobandt, D..  Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing.  93 - 98

• Caldas, B.,  Oliveira, F.R.S.,  Neto, F..  Improving Support of Appropriate Executive Decisions by Combining Artificial Immune Systems and Fuzzy Logic.  99 - 104

• Badue, C.,  Pedroni, F.,  Souza, A..  Multi-label Text Categorization Using VG-RAM Weightless Neural Networks.  105 - 110

• Bastos-Filho, C.J.A.,  Caraciolo, M.P.,  Miranda, P.B.C.,  Carvalho, D.F..  Multi-ring Particle Swarm Optimization.  111 - 116

• Martins, N.A.,  Bertol, D.,  Lombardi, W.C.,  Pieri, E.R.,  Dias, M.M..  Neural Control Applied to the Problem of Trajectory Tracking of Mobile Robots with Uncertainties.  117 - 122

• Hell, M.,  Gomide, F.,  Costa, P..  Neurons and Neural Fuzzy Networks Based on Nullnorms.  123 - 128

• Aguayo, L.,  Barreto, G.A..  Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms.  129 - 134

• Santos, P.H.E.,  Albuquerque, R.C.,  Cunha, D.C.,  Madeiro, F..  On Frequency Sensitive Competitive Learning for VQ Codebook Design.  135 - 140

• Castro, C.L.,  Braga, A.P..  Optimization of the Area under the ROC Curve.  141 - 146

• Oliveira, W.,  Silva, A.J.,  Ludermir, T.B.,  Leonel, A.,  Galindo, W.R.,  Pereira, J.C.C..  Quantum Logical Neural Networks.  147 - 152

• Macedo, H.B.,  Lima, M.J.L.,  Oliveira, G.M.B..  Searching for a Cryptographic Model Based on the Pre-Image Calculus of Cellular Automata.  153 - 158

• Filho, E.,  de Seixas, J.M.,  Caloba, L.P..  Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering.  159 - 164

• Santos, P.M.,  Ludermir, T.B.,  Prudencio, R.B.C..  Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach.  165 - 170

• Tinos, R.,  Murta, L.O..  Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems.  171 - 176

• Miguel, C.G.,  Silva, C.,  Netto, M.L..  Structural and Parametric Evolution of Continuous-Time Recurrent Neural Networks.  177 - 182

• DalleMole, V.L.,  Araujo, A.F.R..  The Growing Self-Organizing Surface Map: Improvements.  183 - 188

• Lorena, A.C.,  de Carvalho, A.C.P..  Tree Decomposition of Multiclass Problems.  189 - 194

• Oliveira, E.,  Ciarelli, P.M.,  Souza, A.,  Badue, C..  Using a Probabilistic Neural Network for a Large Multi-label Problem.  195 - 200

• Prudencio, R.B.C.,  Guerra, S.B.,  Ludermir, T.B..  Using Support Vector Machines to Predict the Performance of MLP Neural Networks.  201 - 206

• Ludermir, T.B.,  de Souto, M.C.P.,  de Oliveira, W.R..  Weightless Neural Networks: Knowledge-Based Inference System.  207 - 212