| calculate_first_order_terms(void) const | OpenNN::SumSquaredError | virtual |
| calculate_generalization_performance(void) const | OpenNN::SumSquaredError | virtual |
| calculate_gradient(void) const | OpenNN::SumSquaredError | virtual |
| calculate_gradient(const Vector< double > &) const | OpenNN::SumSquaredError | virtual |
| calculate_Hessian(void) const | OpenNN::SumSquaredError | virtual |
| calculate_Hessian(const Vector< double > &) const | OpenNN::SumSquaredError | 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_performance(void) const | OpenNN::SumSquaredError | virtual |
| calculate_performance(const Vector< double > &) const | OpenNN::SumSquaredError | 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::SumSquaredError | |
| calculate_terms(void) const | OpenNN::SumSquaredError | virtual |
| calculate_terms(const Vector< double > &) const | OpenNN::SumSquaredError | virtual |
| calculate_terms_Jacobian(void) const | OpenNN::SumSquaredError | virtual |
| check(void) const | OpenNN::SumSquaredError | 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::SumSquaredError | 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 |
| 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 | |
| SumSquaredError(void) | OpenNN::SumSquaredError | explicit |
| SumSquaredError(NeuralNetwork *) | OpenNN::SumSquaredError | explicit |
| SumSquaredError(DataSet *) | OpenNN::SumSquaredError | explicit |
| SumSquaredError(NeuralNetwork *, DataSet *) | OpenNN::SumSquaredError | explicit |
| SumSquaredError(const tinyxml2::XMLDocument &) | OpenNN::SumSquaredError | explicit |
| SumSquaredError(const SumSquaredError &) | OpenNN::SumSquaredError | |
| to_string(void) const | OpenNN::PerformanceTerm | virtual |
| to_XML(void) const | OpenNN::SumSquaredError | virtual |
| write_information(void) const | OpenNN::PerformanceTerm | virtual |
| write_performance_term_type(void) const | OpenNN::SumSquaredError | virtual |
| ~PerformanceTerm(void) | OpenNN::PerformanceTerm | virtual |
| ~SumSquaredError(void) | OpenNN::SumSquaredError | virtual |
1.8.9.1
