Palavra-chave: SUPERVISED LEARNING

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