Example #1
0
/*************************************************************************
Like MLPCreateR2, but for ensembles.

  -- ALGLIB --
	 Copyright 18.02.2009 by Bochkanov Sergey
*************************************************************************/
func MlpeCreateR2(nin, nhid1, nhid2, nout int, a, b float64, ensemblesize int, ensemble *mlpensemble) error {
	net := mlpbase.NewMlp()

	if err := mlpbase.MlpCreater2(nin, nhid1, nhid2, nout, a, b, net); err != nil {
		return err
	}
	return MlpeCreateFromNetwork(net, ensemblesize, ensemble)
}
Example #2
0
/*************************************************************************
Same as MLPCreateR0, but with two non-linear hidden layers.

  -- ALGLIB --
	 Copyright 30.03.2008 by Bochkanov Sergey
*************************************************************************/
func MlpCreateR2(nin, nhid1, nhid2, nout int, a, b float64) *MultiLayerPerceptron {
	network := NewMlp()
	mlpbase.MlpCreater2(nin, nhid1, nhid2, nout, a, b, network.innerobj)
	return network
}