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Delta rule neural network

One of the early problems with multilayer perceptrons was that it was not clear how to train them. The perception training rule doesn t apply directly to networks with hidden layers. Fortunately, Rumelhart and others (Rumelhart et al 1986) devised an intuitive method that quickly became adopted and revolutionized the field of artificial neural networks. The method is called back-propagation because it computes the error term as described above and propagates the error backward through the network so that weights to and from hidden units can be modified in a fashion similar to the delta rule for perceptions. [Pg.55]

Neural network learning algorithms BP = Back-Propagation Delta = Delta Rule QP = Quick-Propagation RP = Rprop ART = Adaptive Resonance Theory, CP = Counter-Propagation. [Pg.104]


See other pages where Delta rule neural network is mentioned: [Pg.535]    [Pg.104]    [Pg.106]    [Pg.165]    [Pg.182]    [Pg.63]    [Pg.158]    [Pg.215]   


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