Now showing items 1-5 of 5

    • Aplicaciones de Redes Neuronales e Inspiracióm Biológica 

      Tomás Mariano, Víctor Tomás (2011-07)
      This presentation will raise a number of areas where they apply different neural network paradigms. We describe the biological model of a neuron, as well as the basics of neuron.
    • Aprendizaje No Supervisado (Aprendizaje Asociativo) 

      Tomás Mariano, Víctor Tomás (2011-07)
      It gives an introduction to associative learning using Hebb's postulate of learning networks belonging to unsupervised.
    • Introducción a las Redes Neuronales 

      Tomás Mariano, Víctor Tomás (2011-07)
      This presentation describes a brief history of Neural Networks (RN), are some definitions of RN, and their advantages and disadvantages, in order to identify the basics and fundamentals of neural networks
    • Mapa Auto Organizados 

      Tomás Mariano, Víctor Tomás (2011-07)
      It describes the characteristics of self-organizing maps, the learning rule, the training algorithm, in order to solve classification problems.
    • Perceptron 

      Tomás Mariano, Víctor Tomás (2011-07)
      We describe the Perceptron model, history, characteristics, training algorithm for solving classification problems, worked examples are also presented, as well as the limitations of this type of network.