train_ann: ANN training function
In rogiersbart/RGLUEANN: Non-linear probabilistic data-driven modelling using general likelihood uncertainty estimation and artificial neural networks
Description
Usage
Arguments
Value
Description
train_ann is a wrapper for the AMORE package functions
Usage
1
2
train_ann(Ptrain, Pval, targetTrain, targetVal, architecture, n, Stao = 1,
es = T, hidden.layer = "sigmoid", output.layer = "purelin")
Arguments
Ptrain
Pval
targetTrain
targetVal
architecture
n
Stao
es
hidden.layer
output.layer
Value
results of training an ANN
rogiersbart/RGLUEANN documentation built on May 27, 2019, 12:16 p.m.
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Description Usage Arguments Value
Description
train_ann is a wrapper for the AMORE package functions
Usage
1 2 | train_ann(Ptrain, Pval, targetTrain, targetVal, architecture, n, Stao = 1,
es = T, hidden.layer = "sigmoid", output.layer = "purelin")
|
Arguments
Ptrain |
|
Pval |
|
targetTrain |
|
targetVal |
|
architecture |
|
n |
|
Stao |
|
es |
|
hidden.layer |
|
output.layer |
Value
results of training an ANN
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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