Portal do Ementário

* Introdução * História da Neurocomputação * Modelo de Neurônio Artificial * Topologia de Redes * Paradigmas de Aprendizagem * Redes de Propagação Adiante: Perceptron, Adaline, Perceptron Multi-Camada * Algoritmos de Otimização para Ajuste dos Pesos * Redes Convolucionais * Redes de Fundaçãode Base Radial * Redes com Realimentação: Hopfield, Máquinas de Boltzmann Restritas * Redes Competitivas: Mapa de Kohonen * Máquinas de Vetor de Suporte (SVM)

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