RSNNS (version 0.3-1)

assoz: Create and train an (auto-)associative memory.

Description

Create and train an (auto-)associative memory.

Usage

assoz(x, ...)
## S3 method for class 'default':
assoz(x, dimX, dimY, maxit=100, initFunc="RM_Random_Weights",
    initFuncParams=c(1, -1), learnFunc="RM_delta",
    learnFuncParams=c(0.01, 100, 0, 0, 0),
    updateFunc="Auto_Synchronous", updateFuncParams=c(50),
    shufflePatterns=TRUE, ...)

Arguments

x

a matrix with training inputs for the network

dimX

x dimension of inputs and outputs

dimY

y dimension of inputs and outputs

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

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

Details

assoz: Similar to the art1 and art2 network types. The implementation assumes two-dimensional input and output (cf. art1).

See Also

art1, art2

Examples

demo(assoz_letters)
demo(assoz_lettersSnnsR)