wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual mlpfwd wolffd@0: wolffd@0: wolffd@0: wolffd@0:

mlpfwd wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Forward propagation through 2-layer network. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0:

wolffd@0: y = mlpfwd(net, x)
wolffd@0: [y, z] = mlpfwd(net, x)
wolffd@0: [y, z, a] = mlpfwd(net, x)
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wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: y = mlpfwd(net, x) takes a network data structure net together with wolffd@0: a matrix x of input vectors, and forward propagates the inputs wolffd@0: through the network to generate a matrix y of output wolffd@0: vectors. Each row of x corresponds to one input vector and each wolffd@0: row of y corresponds to one output vector. wolffd@0: wolffd@0:

[y, z] = mlpfwd(net, x) also generates a matrix z of the hidden wolffd@0: unit activations where each row corresponds to one pattern. wolffd@0: wolffd@0:

[y, z, a] = mlpfwd(net, x) also returns a matrix a wolffd@0: giving the summed inputs to each output unit, where each row wolffd@0: corresponds to one pattern. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: mlp, mlppak, mlpunpak, mlperr, mlpbkp, mlpgrad

wolffd@0: Pages: wolffd@0: Index wolffd@0:

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