predict.hann1: Prediction

In hann: Hopfield Artificial Neural Networks

Prediction

Description

Classification of patterns with Hopfield-based artificial neural networks.

Usage

## S3 method for class 'hann1'
predict(object, patterns, rawsignal = TRUE, ...)
## S3 method for class 'hann3'
predict(object, patterns, rawsignal = TRUE, ...)

Arguments

object	an object of class "hann1" or "hann3".
patterns	the patterns to be classified.
rawsignal	a logical value (see details).
...	(ignored).

Details

The patterns have to be coded in the same way than the matrix xi used to train the networks.

If rawsignal = TRUE, the raw signal of each neuron is output for each pattern. Otherwise, a classification of each pattern is done by finding the neuron with the largest signal.

Value

If rawsignal = TRUE a matrix; if rawsignal = FALSE a vector.

Author(s)

Emmanuel Paradis

See Also

hann1, hann3

hann documentation built on Aug. 8, 2025, 7:16 p.m.