OpenNN::NormalizedSquaredError Member List

This is the complete list of members for OpenNN::NormalizedSquaredError, including all inherited members.

calculate_first_order_terms(void) const	OpenNN::NormalizedSquaredError	virtual
calculate_generalization_performance(void) const	OpenNN::NormalizedSquaredError	virtual
calculate_gradient(void) const	OpenNN::NormalizedSquaredError	virtual
OpenNN::PerformanceTerm::calculate_gradient(const Vector< double > &) const	OpenNN::PerformanceTerm	virtual
calculate_Hessian(void) const	OpenNN::NormalizedSquaredError	virtual
OpenNN::PerformanceTerm::calculate_Hessian(const Vector< double > &) const	OpenNN::PerformanceTerm	virtual
calculate_interlayers_Delta(const Vector< Vector< double > > &, const Vector< Vector< double > > &, const Matrix< Matrix< double > > &, const Vector< double > &, const Matrix< double > &, const Vector< Vector< double > > &) const	OpenNN::PerformanceTerm
calculate_Kronecker_delta(const size_t &, const size_t &) const	OpenNN::PerformanceTerm
calculate_layers_delta(const Vector< Vector< double > > &, const Vector< double > &) const	OpenNN::PerformanceTerm
calculate_layers_delta(const Vector< Vector< double > > &, const Vector< double > &, const Vector< double > &) const	OpenNN::PerformanceTerm
calculate_maximal_errors(const size_t &=10) const	OpenNN::NormalizedSquaredError
calculate_normalization_coefficient(const Matrix< double > &, const Vector< double > &) const	OpenNN::NormalizedSquaredError
calculate_performance(void) const	OpenNN::NormalizedSquaredError	virtual
calculate_performance(const Vector< double > &) const	OpenNN::NormalizedSquaredError	virtual
calculate_point_gradient(const Vector< double > &, const Vector< Vector< double > > &, const Vector< Vector< double > > &) const	OpenNN::PerformanceTerm
calculate_point_gradient(const Vector< Matrix< double > > &, const Vector< Vector< double > > &) const	OpenNN::PerformanceTerm
calculate_point_Hessian(const Vector< Vector< double > > &, const Vector< Vector< Vector< double > > > &, const Matrix< Matrix< double > > &, const Vector< Vector< double > > &, const Matrix< Matrix< double > > &) const	OpenNN::PerformanceTerm
calculate_squared_errors(void) const	OpenNN::NormalizedSquaredError
calculate_terms(void) const	OpenNN::NormalizedSquaredError	virtual
calculate_terms(const Vector< double > &) const	OpenNN::NormalizedSquaredError	virtual
calculate_terms_Jacobian(void) const	OpenNN::NormalizedSquaredError	virtual
check(void) const	OpenNN::NormalizedSquaredError	virtual
construct_numerical_differentiation(void)	OpenNN::PerformanceTerm
data_set_pointer	OpenNN::PerformanceTerm	protected
delete_numerical_differentiation_pointer(void)	OpenNN::PerformanceTerm
display	OpenNN::PerformanceTerm	protected
from_XML(const tinyxml2::XMLDocument &)	OpenNN::NormalizedSquaredError	virtual
get_data_set_pointer(void) const	OpenNN::PerformanceTerm	inline
get_display(void) const	OpenNN::PerformanceTerm
get_mathemtaical_model_pointer(void) const	OpenNN::PerformanceTerm	inline
get_neural_network_pointer(void) const	OpenNN::PerformanceTerm	inline
get_numerical_differentiation_pointer(void) const	OpenNN::PerformanceTerm	inline
has_data_set(void) const	OpenNN::PerformanceTerm
has_mathematical_model(void) const	OpenNN::PerformanceTerm
has_neural_network(void) const	OpenNN::PerformanceTerm
has_numerical_differentiation(void) const	OpenNN::PerformanceTerm
mathematical_model_pointer	OpenNN::PerformanceTerm	protected
neural_network_pointer	OpenNN::PerformanceTerm	protected
NormalizedSquaredError(NeuralNetwork *, DataSet *)	OpenNN::NormalizedSquaredError	explicit
NormalizedSquaredError(NeuralNetwork *)	OpenNN::NormalizedSquaredError	explicit
NormalizedSquaredError(DataSet *)	OpenNN::NormalizedSquaredError	explicit
NormalizedSquaredError(void)	OpenNN::NormalizedSquaredError	explicit
NormalizedSquaredError(const tinyxml2::XMLDocument &)	OpenNN::NormalizedSquaredError	explicit
numerical_differentiation_pointer	OpenNN::PerformanceTerm	protected
operator=(const PerformanceTerm &)	OpenNN::PerformanceTerm	virtual
operator==(const PerformanceTerm &) const	OpenNN::PerformanceTerm	virtual
PerformanceTerm(void)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(NeuralNetwork *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(DataSet *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(MathematicalModel *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(NeuralNetwork *, DataSet *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(NeuralNetwork *, MathematicalModel *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(NeuralNetwork *, MathematicalModel *, DataSet *)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(const tinyxml2::XMLDocument &)	OpenNN::PerformanceTerm	explicit
PerformanceTerm(const PerformanceTerm &)	OpenNN::PerformanceTerm
set(void)	OpenNN::PerformanceTerm	virtual
set(NeuralNetwork *)	OpenNN::PerformanceTerm	virtual
set(DataSet *)	OpenNN::PerformanceTerm	virtual
set(MathematicalModel *)	OpenNN::PerformanceTerm	virtual
set(NeuralNetwork *, DataSet *)	OpenNN::PerformanceTerm	virtual
set(NeuralNetwork *, MathematicalModel *)	OpenNN::PerformanceTerm	virtual
set(NeuralNetwork *, MathematicalModel *, DataSet *)	OpenNN::PerformanceTerm	virtual
set(const PerformanceTerm &)	OpenNN::PerformanceTerm
set_data_set_pointer(DataSet *)	OpenNN::PerformanceTerm	virtual
set_default(void)	OpenNN::PerformanceTerm	virtual
set_display(const bool &)	OpenNN::PerformanceTerm
set_mathematical_model_pointer(MathematicalModel *)	OpenNN::PerformanceTerm	virtual
set_neural_network_pointer(NeuralNetwork *)	OpenNN::PerformanceTerm	virtual
set_numerical_differentiation_pointer(NumericalDifferentiation *)	OpenNN::PerformanceTerm
to_string(void) const	OpenNN::PerformanceTerm	virtual
to_XML(void) const	OpenNN::NormalizedSquaredError	virtual
training_target_mean	OpenNN::NormalizedSquaredError	private
write_information(void) const	OpenNN::NormalizedSquaredError	virtual
write_performance_term_type(void) const	OpenNN::NormalizedSquaredError	virtual
~NormalizedSquaredError(void)	OpenNN::NormalizedSquaredError	virtual
~PerformanceTerm(void)	OpenNN::PerformanceTerm	virtual