Palavra-chave: SUPERVISED LEARNING

PROBABILISTIC LEARNING ARTIFICIAL NEURAL NETWORKS UNIT-GROWING LEARNING ADAPTIVE CONTROL HYBRID LEARNING PROJECTION PURSUIT RECURRENT NEURAL NETWORKS COMPLETE LATTICE SPEED CONTROL NEURAL NETWORKS NONLINEAR CONTROL EVOLUTIONARY COMPUTATION FUNCTION APPROXIMATION FUZZY COLOR HIERARCHICAL APPROACH IMAGE PROCESSING ADAPTIVE VECTOR CONTROL CLASSIFICATION PROBLEM MORPHOLOGICAL NEURAL NETWORKS NONLINEAR DYNAMIC SYSTEMS AC DRIVES THREE-PHASE INDUCTION MOTOR MATHEMATICAL MORPHOLOGY NONPARAMETRIC REGRESSION CONSTRUCTIVE LEARNING SECOND-ORDER OPTIMIZATION RADIAL BASIS FUNCTION NEURAL NETWORKS ARTIFICIAL IMMUNE SYSTEMS MODEL-FREE REGRESSION