RSNNS (version 0.3-1)

art2: Create and train an art2 network.

Description

Create and train an art2 network.

Usage

art2(x, ...)
## S3 method for class 'default':
art2(x, f2Units=5, maxit=100, initFunc="ART2_Weights", initFuncParams=c(0.9,
    2), learnFunc="ART2", learnFuncParams=c(0.98, 10, 10, 0.1, 0),
    updateFunc="ART2_Stable", updateFuncParams=c(0.98, 10, 10, 0.1, 0),
    shufflePatterns=TRUE, ...)

Arguments

x

a matrix with training inputs for the network

f2Units

controls the number of clusters assumed to be present

maxit

maximum of iterations to learn

initFunc

the initialization function to use

initFuncParams

the parameters for the initialization function

learnFunc

the learning function to use

learnFuncParams

the parameters for the learning function

updateFunc

the update function to use

updateFuncParams

the parameters for the update function

shufflePatterns

should the patterns be shuffled?

...

additional function parameters (currently not used)

Value

• art2.default: an rsnns object. The fitted.values member contains the activation patterns for all inputs.

Details

art2: Art2 is very similar to art1, but for real-valued input. See art1 for more information. A difference is, that the art2 implementation doesn't assume two-dimensional input and output.

See Also

art2

Examples

demo(art2_tetra)
demo(art2_tetraSnnsR)