kohonenSOMForecast¶
Calculates forecasts using a trained Kohonen network.
Synopsis¶
kohonenSOMForecast (kohonen, data)
Required Arguments¶
- Imsls_d_kohonenSOM
kohonen
(Input) - A Imsls_d_kohonenSOM containing the trained Kohonen network. See the
Remarks section of
kohonenSOMTrainer
for a description of this structure. - float
data[[]]
(Input) - An
nObs
×dim
array containing the input data for forecasts, wheredim
is the number of weights for each node in the node grid specified during training.
Return Value¶
An nObs
× 2 array containing the (i, j) index of the winning nodes
for the input data.
Description¶
Function kohonenSOMForecast
calculates forecasts for a previously
trained Kohonen network from kohonenSOMTrainer
. The structure
Imsls_d_kohonenSOM describes the network structure used to originally
train the network. The weights, which are the key output from training, are
used as input to this function. The weights are stored in the
Imsls_d_kohonenSOM structure.
Example¶
See kohonenSOMTrainer.