The brnn R package
The
brnn package was developed by Paulino Perez Rodriguez and Daniel Gianola, and it implements the two-layer Bayesian regularized neural network described in the previous section. The main function in the package is brnn( )
that can be called using the following command:
>brnn(x,y,neurons,normalize,epochs,…,Monte_Carlo,…)
Here, x is an n x p matrix where n is the number of data points and p is the number of variables; y is an n dimensional vector containing target values. The number of neurons in the hidden layer of the network can be specified by the variable neurons
. If the indicator function normalize
is TRUE
, it will normalize the input and output, which is the default option. The maximum number of iterations during model ...
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