Kohonen Neural Network Library Demo

Kohonen Neural Network Library Demo

File List

basic_activation_function.hpp

basic_neuron.hpp

basic_neuron_fun_spec.hpp

basic_weak_distance_function.hpp

configuration.cpp

configuration.hpp

data_parser.hpp

debugger.hpp

euclidean_distance_function.hpp

functors.hpp

generalized_training_weight.hpp

kohonen_network.hpp

main.cpp

max_type.hpp

neural_net_headers.hpp

numeric_iterator.hpp

operators.hpp

print_network.hpp

randomize_policy.hpp

ranges.hpp

rectangular_container.hpp

std_headers.hpp

training_functional.hpp

value_type.hpp

weighted_euclidean_distance_function.hpp

wta_training_algorithm.hpp

wtm_topology.hpp

wtm_training_algorithm.hpp

Data Structures

config::Basic_configuration< Internal_configuration_type >

neural_net::Basic_function< Value_type >

neural_net::Basic_generalized_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >

neural_net::Basic_neuron< Activation_function_type, Binary_operation_type >

neural_net::Basic_neuron< Activation_function_type(typename Binary_operation_type::result_type), Binary_operation_type(Value_type, Value_type) >

neural_net::Basic_topology< Result_type, Index_type >

neural_net::Basic_training_functional

neural_net::Basic_wta_training_functional< Value_type, Parametres_type >

neural_net::Basic_wtm_training_functional< Value_type, Parameters_type, Iteration_type, Index_type, Topology_type >

binary_function

neural_net::Cauchy_function< Value_type, Scalar_type, Exponent_type >

neural_net::City_topology< Index_type >

neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >

operators::compose_f_gxy_gxy_t< OP1, OP2 >

config::Configuration_container

neural_net::Constant_function< Value_type, Scalar_type >

data_parser::Data_parser< Data_container >

distance::Basic_weak_distance_function< Value_type, Result_type >

distance::Euclidean_distance_function< Value_type >

neural_net::Experimental_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type, Parameter_type >

neural_net::External_randomize

neural_net::Gauss_function< Value_type, Scalar_type, Exponent_type >

neural_net::Hexagonal_topology< Index_type >

neural_net::Internal_randomize

neural_net::Linear_numeric_iterator< Value_type >

neural_net::Max_topology< Index_type >

operators::Max_type< T_1, T_2 >

operators::Max_type_private< S, T >

operators::Max_type_private< T, T >

neural_net::Basic_activation_function< Parameters_type, Value_type, Result_type >

neural_net::Numeric_iterator< Value_type >

power

operators::power< T, E, false >

operators::power< T, E, true >

neural_net::Randomize_policy

neural_net::Ranges< Container_type >

neural_net::Rectangular_container< Object_type >

operators::Value_type< T >

operators::Value_type< double >

operators::Value_type< int >

operators::Value_type< long >

operators::Value_type< unsigned int >

operators::Value_type< unsigned long >

config::Version_struct

distance::Weighted_euclidean_distance_function< Parameters_type, Value_type >

neural_net::Wta_proportional_training_functional< Value_type, Parameters_type, Iteration_type >

neural_net::Wta_training_algorithm< Network_type, Value_type, Data_iterator_type, Training_functional_type, Numeric_iterator_type >

neural_net::Wtm_classical_training_functional< Value_type, Parameters_type, Iteration_type, Index_type, Generalized_training_weight_type >

neural_net::Wtm_training_algorithm< Network_type, Value_type, Data_iterator_type, Training_functional_type, Index_type, Numeric_iterator_type >

Class Hierarchy

config::Basic_configuration< Internal_configuration_type >

neural_net::Basic_function< Value_type >

neural_net::Cauchy_function< Value_type, Scalar_type, Exponent_type >

neural_net::Constant_function< Value_type, Scalar_type >

neural_net::Gauss_function< Value_type, Scalar_type, Exponent_type >

neural_net::Basic_generalized_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >

neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >

neural_net::Experimental_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type, Parameter_type >

neural_net::Basic_neuron< Activation_function_type, Binary_operation_type >

neural_net::Basic_neuron< Activation_function_type(typename Binary_operation_type::result_type), Binary_operation_type(Value_type, Value_type) >

neural_net::Basic_topology< Result_type, Index_type >

neural_net::Basic_training_functional

neural_net::Basic_wta_training_functional< Value_type, Parametres_type >

neural_net::Basic_wta_training_functional< Value_type, Parameters_type >

neural_net::Basic_wtm_training_functional< Value_type, Parameters_type, Iteration_type, Index_type, Topology_type >

neural_net::Basic_wtm_training_functional< Value_type, Parameters_type, Iteration_type, Index_type, Generalized_training_weight_type >

neural_net::Wtm_classical_training_functional< Value_type, Parameters_type, Iteration_type, Index_type, Generalized_training_weight_type >

neural_net::Wta_proportional_training_functional< Value_type, Parameters_type, Iteration_type >

binary_function

operators::compose_f_gxy_gxy_t< OP1, OP2 >

config::Configuration_container

data_parser::Data_parser< Data_container >

distance::Basic_weak_distance_function< Value_type, Result_type >

distance::Basic_weak_distance_function< Value_type, Value_type >

distance::Euclidean_distance_function< Value_type >

distance::Weighted_euclidean_distance_function< Parameters_type, Value_type >

operators::Max_type< T_1, T_2 >

operators::Max_type_private< S, T >

operators::Max_type_private< T, T >

neural_net::Basic_activation_function< Parameters_type, Value_type, Result_type >

neural_net::Basic_activation_function< operators::Max_type< Scalar_type, Exponent_type >::type, Value_type, operators::Max_type< operators::Max_type< operators::Max_type< Scalar_type, Exponent_type >::type, Value_type >::type, double >::type >

neural_net::Gauss_function< Value_type, Scalar_type, Exponent_type >

neural_net::Basic_activation_function< operators::Max_type< Scalar_type, Exponent_type >::type, Value_type, operators::Max_type< operators::Max_type< Scalar_type, Exponent_type >::type, Value_type >::type >

neural_net::Cauchy_function< Value_type, Scalar_type, Exponent_type >

neural_net::Basic_topology< Index_type, Index_type >

neural_net::City_topology< Index_type >

neural_net::Hexagonal_topology< Index_type >

neural_net::Max_topology< Index_type >

neural_net::Numeric_iterator< Value_type >

neural_net::Linear_numeric_iterator< Value_type >

power

operators::power< T, E, false >

operators::power< T, E, true >

neural_net::Randomize_policy

neural_net::External_randomize

neural_net::Internal_randomize

neural_net::Ranges< Container_type >

neural_net::Rectangular_container< Object_type >

operators::Value_type< T >

operators::Value_type< double >

operators::Value_type< int >

operators::Value_type< long >

operators::Value_type< unsigned int >

operators::Value_type< unsigned long >

config::Version_struct

neural_net::Wta_training_algorithm< Network_type, Value_type, Data_iterator_type, Training_functional_type, Numeric_iterator_type >

neural_net::Wtm_training_algorithm< Network_type, Value_type, Data_iterator_type, Training_functional_type, Index_type, Numeric_iterator_type >

Data Fields

Namespace List

config

data_parser

distance

neural_net

operators

Modules

Neural network

Generalized distance

Configuration

Data parser

Trivial Debugger

Data storages

Operators

Globals

Namespace Members

Related Pages

Todo List

Graphical Class Hierarchy