cv10mlp {dprep}R Documentation

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

Description

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

Usage

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

Arguments

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

Value

Returns the mean cross validation for the multilayer perceptron classifier.

Author(s)

Edgar Acuna

References

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

See Also

crossval, cv10log

Examples

#-----cross validation using the MLP classifier---
data(heartc)
cv10mlp(heartc,25,decay=0.1,maxwts=1000,maxit=100,repet=2)

[Package dprep version 2.0 Index]