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Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs

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Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs and an initial network % [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the % network with backpropagation. % % The activation functions must be either linear or tanh. The network % architecture is defined by the matrix NetDef consisting of two % rows. The first row specifies the hidden layer while the second % specifies the output layer. %

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