Neural Network implementation. More...

Functions/Subroutines
subroutine, public	pao_ml_nn_predict (pao, ikind, descriptor, output, variance)
	Uses neural network to make a prediction.

subroutine, public	pao_ml_nn_gradient (pao, ikind, descriptor, outer_deriv, gradient)
	Calculate gradient of neural network.

subroutine, public	pao_ml_nn_train (pao)
	Trains the neural network on given training points.

Detailed Description

Neural Network implementation.

Function/Subroutine Documentation

subroutine, public pao_ml_neuralnet::pao_ml_nn_predict	(	type(pao_env_type), pointer	pao,
		integer, intent(in)	ikind,
		real(dp), dimension(:), intent(in)	descriptor,
		real(dp), dimension(:), intent(out)	output,
		real(dp), intent(out)	variance
	)

Uses neural network to make a prediction.

Parameters

Definition at line 43 of file pao_ml_neuralnet.F.

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subroutine, public pao_ml_neuralnet::pao_ml_nn_gradient	(	type(pao_env_type), pointer	pao,
		integer, intent(in)	ikind,
		real(dp), dimension(:), intent(in), target	descriptor,
		real(dp), dimension(:), intent(in)	outer_deriv,
		real(dp), dimension(:), intent(out)	gradient
	)

Calculate gradient of neural network.

Parameters

Definition at line 67 of file pao_ml_neuralnet.F.

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subroutine, public pao_ml_neuralnet::pao_ml_nn_train ( type(pao_env_type), pointer pao )

Trains the neural network on given training points.

Parameters

pao ...

Definition at line 120 of file pao_ml_neuralnet.F.

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