OpenNN::PerformanceFunctional Member List

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

calculate_directional_performance(const Vector< double > &, double)OpenNN::PerformanceFunctional
calculate_directional_performance_derivative(const Vector< double > &, double)OpenNN::PerformanceFunctional
calculate_directional_performance_second_derivative(const Vector< double > &, double)OpenNN::PerformanceFunctional
calculate_evaluation(void) const OpenNN::PerformanceFunctional
calculate_evaluation(const Vector< double > &)OpenNN::PerformanceFunctional
calculate_first_order_evaluation(void) const OpenNN::PerformanceFunctional [virtual]
calculate_first_order_Taylor_approximation(const Vector< double > &) const OpenNN::PerformanceFunctional
calculate_generalization_evaluation(void) const OpenNN::PerformanceFunctional [virtual]
calculate_gradient(void) const OpenNN::PerformanceFunctional
calculate_gradient(const Vector< double > &)OpenNN::PerformanceFunctional
calculate_Hessian(void) const OpenNN::PerformanceFunctional
calculate_Hessian(const Vector< double > &)OpenNN::PerformanceFunctional
calculate_inverse_Hessian(void) const OpenNN::PerformanceFunctional [virtual]
calculate_second_order_evaluation(void) const OpenNN::PerformanceFunctional [virtual]
calculate_second_order_Taylor_approximation(const Vector< double > &) const OpenNN::PerformanceFunctional
calculate_vector_dot_Hessian(const Vector< double > &) const OpenNN::PerformanceFunctional [virtual]
calculate_zero_order_evaluation(void) const OpenNN::PerformanceFunctional [virtual]
calculate_zero_order_Taylor_approximation(const Vector< double > &) const OpenNN::PerformanceFunctional
construct_constraints_term(const PerformanceTermType &)OpenNN::PerformanceFunctional
construct_constraints_term(const PerformanceTermType &, MathematicalModel *)OpenNN::PerformanceFunctional
construct_constraints_term(const PerformanceTermType &, DataSet *)OpenNN::PerformanceFunctional
construct_constraints_term(const PerformanceTermType &, MathematicalModel *, DataSet *)OpenNN::PerformanceFunctional
construct_constraints_term(const std::string &)OpenNN::PerformanceFunctional
construct_objective_term(const PerformanceTermType &)OpenNN::PerformanceFunctional
construct_objective_term(const PerformanceTermType &, MathematicalModel *)OpenNN::PerformanceFunctional
construct_objective_term(const PerformanceTermType &, DataSet *)OpenNN::PerformanceFunctional
construct_objective_term(const PerformanceTermType &, MathematicalModel *, DataSet *)OpenNN::PerformanceFunctional
construct_objective_term(const std::string &)OpenNN::PerformanceFunctional
construct_regularization_term(const PerformanceTermType &)OpenNN::PerformanceFunctional
construct_regularization_term(const PerformanceTermType &, MathematicalModel *)OpenNN::PerformanceFunctional
construct_regularization_term(const PerformanceTermType &, DataSet *)OpenNN::PerformanceFunctional
construct_regularization_term(const PerformanceTermType &, MathematicalModel *, DataSet *)OpenNN::PerformanceFunctional
construct_regularization_term(const std::string &)OpenNN::PerformanceFunctional
CROSS_ENTROPY_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
destruct_all_terms(void)OpenNN::PerformanceFunctional
destruct_constraints_term(void)OpenNN::PerformanceFunctional
destruct_objective_term(void)OpenNN::PerformanceFunctional
destruct_regularization_term(void)OpenNN::PerformanceFunctional
FINAL_SOLUTIONS_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
from_XML(TiXmlElement *)OpenNN::PerformanceFunctional [virtual]
get_constraints_term_flag(void) const OpenNN::PerformanceFunctional
get_constraints_term_pointer(void)OpenNN::PerformanceFunctional [inline]
get_constraints_term_type(void) const OpenNN::PerformanceFunctional
get_display(void) const OpenNN::PerformanceFunctional
get_neural_network_pointer(void) const OpenNN::PerformanceFunctional [inline]
get_objective_term_flag(void) const OpenNN::PerformanceFunctional
get_objective_term_pointer(void) const OpenNN::PerformanceFunctional [inline]
get_objective_term_type(void) const OpenNN::PerformanceFunctional
get_regularization_term_flag(void) const OpenNN::PerformanceFunctional
get_regularization_term_pointer(void) const OpenNN::PerformanceFunctional [inline]
get_regularization_term_type(void) const OpenNN::PerformanceFunctional
INDEPENDENT_PARAMETERS_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
INVERSE_SUM_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
load(const std::string &)OpenNN::PerformanceFunctional [virtual]
MEAN_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
MINKOWSKI_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
NEURAL_PARAMETERS_NORM enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
NONE enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
NORMALIZED_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
OUTPUTS_INTEGRALS enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
PerformanceFunctional(void)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(PerformanceTerm *)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(NeuralNetwork *)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(NeuralNetwork *, DataSet *)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(NeuralNetwork *, MathematicalModel *)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(NeuralNetwork *, MathematicalModel *, DataSet *)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(const std::string &)OpenNN::PerformanceFunctional [explicit]
PerformanceFunctional(const PerformanceFunctional &)OpenNN::PerformanceFunctional
PerformanceTermType enum nameOpenNN::PerformanceFunctional
print(void) const OpenNN::PerformanceFunctional [virtual]
ROOT_MEAN_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
save(const std::string &) const OpenNN::PerformanceFunctional [virtual]
set_constraints_term_flag(const bool &)OpenNN::PerformanceFunctional
set_constraints_term_pointer(PerformanceTerm *)OpenNN::PerformanceFunctional
set_constraints_term_type(const PerformanceTermType &)OpenNN::PerformanceFunctional
set_constraints_term_type(const std::string &)OpenNN::PerformanceFunctional
set_default(void)OpenNN::PerformanceFunctional
set_display(const bool &)OpenNN::PerformanceFunctional
set_neural_network_pointer(NeuralNetwork *)OpenNN::PerformanceFunctional
set_objective_term_flag(const bool &)OpenNN::PerformanceFunctional
set_objective_term_pointer(PerformanceTerm *)OpenNN::PerformanceFunctional
set_objective_term_type(const PerformanceTermType &)OpenNN::PerformanceFunctional
set_objective_term_type(const std::string &)OpenNN::PerformanceFunctional
set_regularization_term_flag(const bool &)OpenNN::PerformanceFunctional
set_regularization_term_pointer(PerformanceTerm *)OpenNN::PerformanceFunctional
set_regularization_term_type(const PerformanceTermType &)OpenNN::PerformanceFunctional
set_regularization_term_type(const std::string &)OpenNN::PerformanceFunctional
SOLUTION_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
SUM_SQUARED_ERROR enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
to_XML(void) const OpenNN::PerformanceFunctional [virtual]
USER_PERFORMANCE_TERM enum value (defined in OpenNN::PerformanceFunctional)OpenNN::PerformanceFunctional
write_constraints_term_type(void) const OpenNN::PerformanceFunctional
write_information(void)OpenNN::PerformanceFunctional [virtual]
write_objective_term_type(void) const OpenNN::PerformanceFunctional
write_regularization_term_type(void) const OpenNN::PerformanceFunctional
~PerformanceFunctional(void)OpenNN::PerformanceFunctional [virtual]


Generated on Sun Aug 26 11:58:19 2012 for OpenNN by  doxygen 1.5.9