Description Usage Arguments Value
View source: R/neural_network_utilities.R
Analyse each network structure provided as a potential NN structure
1 2 | analysenetwork_structures(fold_size, dataset, model_formula, parameters,
measures, algorithm_settings)
|
fold_size |
Number of rows in which the dataset is divided into folds |
dataset |
Dataset used to assess each strutcure |
model_formula |
Parameters and measures formula used to specify the input and output layers of the hidden network |
parameters |
Names of the parameters that form the input nodes of the neural network |
measures |
Names of the simulation responses that form the output node of the neural network |
algorithm_settings |
Object output from the function emulation_algorithm_settings, containing the settings of the machine learning algorithms to use in emulation creation. In this case, the settings parameter we are interested in is number of generations |
mean squared errors for the assessed structures
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