Palavra-chave: SUPERVISED LEARNING

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