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Redes neuronales de propagación inversa
DOI:
https://doi.org/10.15446/ing.investig.n27.20764Keywords:
Redes neuronales, Modelos computacionales (es)Neural networks, Computational models (en)
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This paper discusses the backpropagation neural network and its learning law. For this purpose we begin with the biological neuron and the Input/Output model known as the artificial neuron.
References
Kiloh, L.G., McComas, A.J. y Osselton, J.W.: Clinical Electroencephalography, Butterworths, Londres, 1972.
Hertz, J., Krog, A. y Palmer, R.: Introduction to the Theory of Neural Computation, Addison-Wesley Publishing Company, California, 1991.
Widrow, B. y Lehr, M.: 30 Years od Adaptive Neural Networks: Perceptron, Madaline and Backpropagation, Proc. IEEE, Vol. 78, No. 9, pp. 1415-1441, Septiembre 1990. DOI: https://doi.org/10.1109/5.58323
Hecht-Nielsen, R.: Theory of the Backpropagation Neural Network, Proc. IEEE-ICNN, I (593-605), IEEE Press, New York, a.1989. DOI: https://doi.org/10.1109/IJCNN.1989.118638
Mano, Morris: Arquitectura de Computadores, Prentice-Hall, México, 1982.
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Copyright (c) 1992 Jesús Alberto Delgado Rivera
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