opennn Directory Reference

Files
file	bounding_layer.cpp [code]
file	bounding_layer.h [code]
file	conditions_layer.cpp [code]
file	conditions_layer.h [code]
file	conjugate_gradient.cpp [code]
file	conjugate_gradient.h [code]
file	cross_entropy_error.cpp [code]
file	cross_entropy_error.h [code]
file	data_set.cpp [code]
file	data_set.h [code]
file	evolutionary_algorithm.cpp [code]
file	evolutionary_algorithm.h [code]
file	final_solutions_error.cpp [code]
file	final_solutions_error.h [code]
file	gradient_descent.cpp [code]
file	gradient_descent.h [code]
file	independent_parameters.cpp [code]
file	independent_parameters.h [code]
file	independent_parameters_error.cpp [code]
file	independent_parameters_error.h [code]
file	inputs.cpp [code]
file	inputs.h [code]
file	instances.cpp [code]
file	instances.h [code]
file	inverse_sum_squared_error.cpp [code]
file	inverse_sum_squared_error.h [code]
file	levenberg_marquardt_algorithm.cpp [code]
file	levenberg_marquardt_algorithm.h [code]
file	mathematical_model.cpp [code]
file	mathematical_model.h [code]
file	matrix.h [code]
file	mean_squared_error.cpp [code]
file	mean_squared_error.h [code]
file	minkowski_error.cpp [code]
file	minkowski_error.h [code]
file	missing_values.cpp [code]
file	missing_values.h [code]
file	model_selection.cpp [code]
file	model_selection.h [code]
file	multilayer_perceptron.cpp [code]
file	multilayer_perceptron.h [code]
file	neural_network.cpp [code]
file	neural_network.h [code]
file	neural_parameters_norm.cpp [code]
file	neural_parameters_norm.h [code]
file	newton_method.cpp [code]
file	newton_method.h [code]
file	normalized_squared_error.cpp [code]
file	normalized_squared_error.h [code]
file	numerical_differentiation.cpp [code]
file	numerical_differentiation.h [code]
file	numerical_integration.cpp [code]
file	numerical_integration.h [code]
file	opennn.h [code]
file	ordinary_differential_equations.cpp [code]
file	ordinary_differential_equations.h [code]
file	outputs.cpp [code]
file	outputs.h [code]
file	outputs_integrals.cpp [code]
file	outputs_integrals.h [code]
file	perceptron.cpp [code]
file	perceptron.h [code]
file	perceptron_layer.cpp [code]
file	perceptron_layer.h [code]
file	performance_functional.cpp [code]
file	performance_functional.h [code]
file	performance_term.cpp [code]
file	performance_term.h [code]
file	plug_in.cpp [code]
file	plug_in.h [code]
file	probabilistic_layer.cpp [code]
file	probabilistic_layer.h [code]
file	quasi_newton_method.cpp [code]
file	quasi_newton_method.h [code]
file	random_search.cpp [code]
file	random_search.h [code]
file	root_mean_squared_error.cpp [code]
file	root_mean_squared_error.h [code]
file	scaling_layer.cpp [code]
file	scaling_layer.h [code]
file	solutions_error.cpp [code]
file	solutions_error.h [code]
file	sum_squared_error.cpp [code]
file	sum_squared_error.h [code]
file	testing_analysis.cpp [code]
file	testing_analysis.h [code]
file	training_algorithm.cpp [code]
file	training_algorithm.h [code]
file	training_rate_algorithm.cpp [code]
file	training_rate_algorithm.h [code]
file	training_strategy.cpp [code]
file	training_strategy.h [code]
file	unscaling_layer.cpp [code]
file	unscaling_layer.h [code]
file	variables.cpp [code]
file	variables.h [code]
file	vector.h [code]