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Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales 1.0
File ID: 81190






Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales 1.0
Download Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 122.9 KB
Downloads: 87
Submit Rating:
Tutorial de Backpropagation - Un algoritmo de entrenamiento para redes neuronales 1.0 Description
Description: 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.

License: Shareware

Related: excellent, Interest, Performance, Function, Great, obtained, Character, Problem, Recognition

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 122.9 KB

Downloads: 87



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