cv10mlp: 10-fold cross validation error estimation for the multilayer...
In dprep: Data Pre-Processing and Visualization Functions for Classification

Description Usage Arguments Value Author(s) References See Also Examples

10-fold cross validation estimation error for the multilayer perceptron classifier.

1 2	cv10mlp(data, units, decay = 0, maxwts = 1000, maxit = 100, repet)

`data`	The name of the dataset
`units`	The number of units in the hidden layer
`decay`	The decay parameter
`maxwts`	The maximum number of weights to be estimated in the network
`maxit`	The maximum number of iterations
`repet`	The number of repetitions

Returns the mean cross validation for the multilayer perceptron classifier.

Edgar Acuna

Ripley, B.D. (1996). Pattern recognition and Neural networks. Cambridge University Press

Venables,W.N., and Ripley, B.D. (2002). Modern Applied Statistics with S. Fourth edition, Springer

crossval, cv10log

## Not run: #-----cross validation using the MLP classifier---
data(heartc)
heartc=ce.impute(heartc,"mean",1:13)
cv10mlp(heartc,25,decay=0.1,maxwts=1000,maxit=100,repet=2)

## End(Not run)