wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual mlperr wolffd@0: wolffd@0: wolffd@0: wolffd@0:

mlperr wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate error function for 2-layer network. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: e = mlperr(net, x, t)
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wolffd@0: Description wolffd@0:

wolffd@0: e = mlperr(net, x, t) takes a network data structure net together wolffd@0: with a matrix x of input vectors and a matrix t of target wolffd@0: vectors, and evaluates the error function e. The choice of error wolffd@0: function corresponds to the output unit activation function. Each row wolffd@0: of x corresponds to one input vector and each row of t wolffd@0: corresponds to one target vector. wolffd@0: wolffd@0:

[e, edata, eprior] = mlperr(net, x, t) additionally returns the wolffd@0: data and prior components of the error, assuming a zero mean Gaussian wolffd@0: prior on the weights with inverse variance parameters alpha and wolffd@0: beta taken from the network data structure net. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

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

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

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