Palavra-chave: SUPERVISED LEARNING

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