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Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales 1.0

  Date Added: July 07, 2013  |  Visits: 174

Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales

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Tutorial in Spanish about the Backpropagation algorithm. For academic and educational purposes only.This tutorial provides a brief introduction to the multilayer neural network training algorithm Backpropagation low based on gradient descent and the delta rule, along with its numerical implementation. Network is simulated in the MATLAB d-OC?D? environment, training her to solve a problem of character recognition and the well known XOR problem. The results obtained are of great interest and show excellent performance. The algorithm being a function approximator, this can be used in many problems where required the system identification, pattern classification, etc..Keywords: Neural Networks, Multilayer Perceptron, training, pattern recognition, backpropagation, delta rule, gradient descent.

Requirements: No special requirements
Platforms: Matlab
Keyword: Character Excellent Function Great Interest Obtained Performance Problem Recognition
Users rating: 0/10

License: Shareware Size: 122.88 KB
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