/*************************************************************************
Like MLPCreateR0, but for ensembles.
-- ALGLIB --
Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateR0(nin, nout int, a, b float64, ensemblesize int, ensemble *mlpensemble) error {
net := mlpbase.NewMlp()
if err := mlpbase.MlpCreater0(nin, nout, a, b, net); err != nil {
return err
}
return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
/*************************************************************************
Creates neural network with NIn inputs, NOut outputs, without hidden
layers with non-linear output layer. Network weights are filled with small
random values. Activation function of the output layer takes values [A,B].
-- ALGLIB --
Copyright 30.03.2008 by Bochkanov Sergey
*************************************************************************/
func MlpCreateR0(nin, nout int, a, b float64) *MultiLayerPerceptron {
network := NewMlp()
mlpbase.MlpCreater0(nin, nout, a, b, network.innerobj)
return network
}