OpenNN  2.2
Open Neural Networks Library
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::NormalizedSquaredErrorvirtual
calculate_generalization_performance(void) const OpenNN::NormalizedSquaredErrorvirtual
calculate_gradient(void) const OpenNN::NormalizedSquaredErrorvirtual
OpenNN::PerformanceTerm::calculate_gradient(const Vector< double > &) const OpenNN::PerformanceTermvirtual
calculate_Hessian(void) const OpenNN::NormalizedSquaredErrorvirtual
OpenNN::PerformanceTerm::calculate_Hessian(const Vector< double > &) const OpenNN::PerformanceTermvirtual
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::NormalizedSquaredErrorvirtual
calculate_performance(const Vector< double > &) const OpenNN::NormalizedSquaredErrorvirtual
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::NormalizedSquaredErrorvirtual
calculate_terms(const Vector< double > &) const OpenNN::NormalizedSquaredErrorvirtual
calculate_terms_Jacobian(void) const OpenNN::NormalizedSquaredErrorvirtual
check(void) const OpenNN::NormalizedSquaredErrorvirtual
construct_numerical_differentiation(void)OpenNN::PerformanceTerm
data_set_pointerOpenNN::PerformanceTermprotected
delete_numerical_differentiation_pointer(void)OpenNN::PerformanceTerm
displayOpenNN::PerformanceTermprotected
from_XML(const tinyxml2::XMLDocument &)OpenNN::NormalizedSquaredErrorvirtual
get_data_set_pointer(void) const OpenNN::PerformanceTerminline
get_display(void) const OpenNN::PerformanceTerm
get_mathemtaical_model_pointer(void) const OpenNN::PerformanceTerminline
get_neural_network_pointer(void) const OpenNN::PerformanceTerminline
get_numerical_differentiation_pointer(void) const OpenNN::PerformanceTerminline
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_pointerOpenNN::PerformanceTermprotected
neural_network_pointerOpenNN::PerformanceTermprotected
NormalizedSquaredError(NeuralNetwork *, DataSet *)OpenNN::NormalizedSquaredErrorexplicit
NormalizedSquaredError(NeuralNetwork *)OpenNN::NormalizedSquaredErrorexplicit
NormalizedSquaredError(DataSet *)OpenNN::NormalizedSquaredErrorexplicit
NormalizedSquaredError(void)OpenNN::NormalizedSquaredErrorexplicit
NormalizedSquaredError(const tinyxml2::XMLDocument &)OpenNN::NormalizedSquaredErrorexplicit
numerical_differentiation_pointerOpenNN::PerformanceTermprotected
operator=(const PerformanceTerm &)OpenNN::PerformanceTermvirtual
operator==(const PerformanceTerm &) const OpenNN::PerformanceTermvirtual
PerformanceTerm(void)OpenNN::PerformanceTermexplicit
PerformanceTerm(NeuralNetwork *)OpenNN::PerformanceTermexplicit
PerformanceTerm(DataSet *)OpenNN::PerformanceTermexplicit
PerformanceTerm(MathematicalModel *)OpenNN::PerformanceTermexplicit
PerformanceTerm(NeuralNetwork *, DataSet *)OpenNN::PerformanceTermexplicit
PerformanceTerm(NeuralNetwork *, MathematicalModel *)OpenNN::PerformanceTermexplicit
PerformanceTerm(NeuralNetwork *, MathematicalModel *, DataSet *)OpenNN::PerformanceTermexplicit
PerformanceTerm(const tinyxml2::XMLDocument &)OpenNN::PerformanceTermexplicit
PerformanceTerm(const PerformanceTerm &)OpenNN::PerformanceTerm
set(void)OpenNN::PerformanceTermvirtual
set(NeuralNetwork *)OpenNN::PerformanceTermvirtual
set(DataSet *)OpenNN::PerformanceTermvirtual
set(MathematicalModel *)OpenNN::PerformanceTermvirtual
set(NeuralNetwork *, DataSet *)OpenNN::PerformanceTermvirtual
set(NeuralNetwork *, MathematicalModel *)OpenNN::PerformanceTermvirtual
set(NeuralNetwork *, MathematicalModel *, DataSet *)OpenNN::PerformanceTermvirtual
set(const PerformanceTerm &)OpenNN::PerformanceTerm
set_data_set_pointer(DataSet *)OpenNN::PerformanceTermvirtual
set_default(void)OpenNN::PerformanceTermvirtual
set_display(const bool &)OpenNN::PerformanceTerm
set_mathematical_model_pointer(MathematicalModel *)OpenNN::PerformanceTermvirtual
set_neural_network_pointer(NeuralNetwork *)OpenNN::PerformanceTermvirtual
set_numerical_differentiation_pointer(NumericalDifferentiation *)OpenNN::PerformanceTerm
to_string(void) const OpenNN::PerformanceTermvirtual
to_XML(void) const OpenNN::NormalizedSquaredErrorvirtual
training_target_meanOpenNN::NormalizedSquaredErrorprivate
write_information(void) const OpenNN::NormalizedSquaredErrorvirtual
write_performance_term_type(void) const OpenNN::NormalizedSquaredErrorvirtual
~NormalizedSquaredError(void)OpenNN::NormalizedSquaredErrorvirtual
~PerformanceTerm(void)OpenNN::PerformanceTermvirtual