OpenNN::MeanSquaredError Member List

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

calculate_evaluation(void) const OpenNN::MeanSquaredError [virtual]
calculate_evaluation(const Vector< double > &) const OpenNN::MeanSquaredError [virtual]
calculate_evaluation_terms(void) const OpenNN::MeanSquaredError [virtual]
calculate_evaluation_terms(const Vector< double > &) const OpenNN::MeanSquaredError [virtual]
calculate_first_order_evaluation(void) const OpenNN::MeanSquaredError
calculate_first_order_evaluation_terms(void)OpenNN::MeanSquaredError
OpenNN::PerformanceTerm::calculate_first_order_evaluation_terms(void) const OpenNN::PerformanceTerm [virtual]
calculate_generalization_evaluation(void) const OpenNN::MeanSquaredError [virtual]
calculate_gradient(void) const OpenNN::MeanSquaredError [virtual]
calculate_Hessian(void) const OpenNN::MeanSquaredError [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_Jacobian_terms(void) const OpenNN::MeanSquaredError [virtual]
calculate_Kronecker_delta(const unsigned int &, const unsigned int &) 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_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_second_order_evaluation(void) const OpenNN::MeanSquaredError
check(void) const OpenNN::MeanSquaredError [virtual]
construct_numerical_differentiation(void)OpenNN::PerformanceTerm
data_set_pointerOpenNN::PerformanceTerm [protected]
delete_numerical_differentiation_pointer(void)OpenNN::PerformanceTerm
displayOpenNN::PerformanceTerm [protected]
from_XML(TiXmlElement *)OpenNN::PerformanceTerm [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]
mathematical_model_pointerOpenNN::PerformanceTerm [protected]
MeanSquaredError(void)OpenNN::MeanSquaredError [explicit]
MeanSquaredError(NeuralNetwork *)OpenNN::MeanSquaredError [explicit]
MeanSquaredError(DataSet *)OpenNN::MeanSquaredError [explicit]
MeanSquaredError(NeuralNetwork *, DataSet *)OpenNN::MeanSquaredError [explicit]
MeanSquaredError(TiXmlElement *)OpenNN::MeanSquaredError [explicit]
MeanSquaredError(const MeanSquaredError &)OpenNN::MeanSquaredError
neural_network_pointerOpenNN::PerformanceTerm [protected]
numerical_differentiation_pointerOpenNN::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(TiXmlElement *)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 [virtual]
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::MeanSquaredError [virtual]
write_information(void) const OpenNN::PerformanceTerm [virtual]
write_performance_term_type(void) const OpenNN::MeanSquaredError [virtual]
~MeanSquaredError(void)OpenNN::MeanSquaredError [virtual]
~PerformanceTerm(void)OpenNN::PerformanceTerm [virtual]


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