| basic_activation_function.hpp | File contains template class Basic_activation_function |
| basic_neuron.hpp | File contains template class Basic_neuron |
| basic_neuron_fun_spec.hpp | File contains specialization of template class Basic_neuron. using boost::function |
| basic_weak_distance_function.hpp | File contains template class Basic_weak_distance_function |
| configuration.cpp | File contains code for functions of the template config::Basic_configuration |
| configuration.hpp | File contains decrarations of the config:: namespace |
| data_parser.hpp | File contains template class Data_parser |
| debugger.hpp | Defines macro for Trivial Debugger. When compiler send to program one of flags: TDEBUG, ETDEBUG or FTDEBUG debugger functionality is set |
| euclidean_distance_function.hpp | File contains template class Euclidean_distance_function |
| functors.hpp | File contains template class Basic_function and some other classes derived form that one |
| generalized_training_weight.hpp | File contains template class Basic_generalized_training_weight and some other classes derived form that one |
| kohonen_network.hpp | File contains template functions for preparing Kohonen neural networks |
| main.cpp | Main file of the program contains int main ( int argc, char * argv[] ) function :-) |
| max_type.hpp | File contains template Max_type class |
| neural_net_headers.hpp | All headers for kohonen neural network |
| numeric_iterator.hpp | File contains template classes for preparing numeric iterators |
| operators.hpp | File contains template operators |
| print_network.hpp | File contains template function to print network |
| randomize_policy.hpp | File contains policy classes to set randomize functionality in to network generation process |
| ranges.hpp | File contains template class Ranges |
| rectangular_container.hpp | File contains class Rectangular_container |
| std_headers.hpp | Contains all important standard headers |
| training_functional.hpp | File contains template classes that support training proces of the network |
| value_type.hpp | File contains template to recognize type of value |
| weighted_euclidean_distance_function.hpp | File contains template class Weighted_euclidean_distance_function |
| wta_training_algorithm.hpp | File contains template class Wta_training_algoritm |
| wtm_topology.hpp | File contains template classes for setting up topology in the network |
| wtm_training_algorithm.hpp | File contains template class Wtm_training_algoritm |
1.4.6