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# lyngby_nn_cddewda

## (export/lyngby/lyngby_nn_cddewda.m)

### Function Synopsis

ddEW = lyngby_nn_cddewda(Y, T, H, W)

### Help text

lyngby_nn_cddewda - Classifier neural network, output, diag 2nd
function ddEW = lyngby_nn_cddewda(Y, T, H, W)
Input: Y Neural network output
T Target output
H Hidden layer output
W Output weights
Output: ddEW Derivative, a vector
Diagonal approximation to the second order derivative of the
error function for the classifier neural network with respect
to the output weights.
See also: lyngby_nn_cdew, lyngby_cddewds

### Cross-Reference Information

This function is called by

Produced by mat2html on Wed Jul 29 15:43:40 2009

Cross-Directory links are: OFF