ArtificialNeuralNetMaterial Class Reference

Public Member Functions
void	uCANN_h0 (const double x, const int kf, double &f, double &df, double &ddf) const
	0th layer output of CANN for activation func kf, input x
void	uCANN_h1 (const double x, const int kf, const double W, double &f, double &df, double &ddf) const
	1st layer output of CANN for activation func kf, input x, weight W
void	uCANN_h2 (const double x, const int kf, const double W, double &f, double &df, double &ddf) const
	2nd layer output of CANN for activation func kf, input x, weight W
void	uCANN (const double xInv, const int kInv, const int kf0, const int kf1, const int kf2, const double W0, const double W1, const double W2, double &psi, double(&dpsi)[9], double(&ddpsi)[9]) const
	Updates psi and its derivatives.
void	evaluate (const double aInv[9], double &psi, double(&dpsi)[9], double(&ddpsi)[9]) const
	function to build psi and dpsidI1 to 9
template<size_t nsd>
void	computeInvariantsAndDerivatives (const Matrix< nsd > &C, const Matrix< nsd > &fl, int nfd, double J2d, double J4d, const Matrix< nsd > &Ci, const Matrix< nsd > &Idm, const double Tfa, Matrix< nsd > &N1, double &psi, double(&Inv)[9], std::array< Matrix< nsd >, 9 > &dInv, std::array< Tensor< nsd >, 9 > &ddInv) const

Public Attributes
Vector< int >	invariant_indices
Array< int >	activation_functions
Array< double >	weights
int	num_rows

Member Function Documentation

evaluate()

void ArtificialNeuralNetMaterial::evaluate	(	const double	aInv[9],
		double &	psi,
		double(&)	dpsi[9],
		double(&)	ddpsi[9]
	)		const

function to build psi and dpsidI1 to 9

uCANN()

void ArtificialNeuralNetMaterial::uCANN	(	const double	xInv,
		const int	kInv,
		const int	kf0,
		const int	kf1,
		const int	kf2,
		const double	W0,
		const double	W1,
		const double	W2,
		double &	psi,
		double(&)	dpsi[9],
		double(&)	ddpsi[9]
	)		const

Updates psi and its derivatives.

uCANN_h0()

void ArtificialNeuralNetMaterial::uCANN_h0	(	const double	x,
		const int	kf,
		double &	f,
		double &	df,
		double &	ddf
	)		const

0th layer output of CANN for activation func kf, input x

uCANN_h1()

void ArtificialNeuralNetMaterial::uCANN_h1	(	const double	x,
		const int	kf,
		const double	W,
		double &	f,
		double &	df,
		double &	ddf
	)		const

1st layer output of CANN for activation func kf, input x, weight W

uCANN_h2()

void ArtificialNeuralNetMaterial::uCANN_h2	(	const double	x,
		const int	kf,
		const double	W,
		double &	f,
		double &	df,
		double &	ddf
	)		const

2nd layer output of CANN for activation func kf, input x, weight W

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The documentation for this class was generated from the following files:

• solver/ArtificialNeuralNetMaterial.h
• solver/ArtificialNeuralNetMaterial.cpp