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

Template class for the generalize training functions that calculates generalized weight classical way. More...

#include <generalized_training_weight.hpp>

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

[legend]Collaboration diagram for neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >:

[legend]

Public Member Functions

• template<typename Value_type_2, typename Iteration_type_2, typename Network_function_type_2, typename Space_function_type_2, typename Network_topology_2, typename Space_topology_2, typename Index_type_2> Classic_training_weight (const Classic_training_weight< Value_type_2, Iteration_type_2, Network_function_type_2, Space_function_type_2, Network_topology_2, Space_topology_2, Index_type_2 > &classic_training_weight) throw ()
• Classic_training_weight (const Network_function_type &n_f, const Space_function_type &s_f, const Network_topology &n_t, const Space_topology &s_t) throw ()
• const Space_function_type::value_type operator() (Value_type &weight, const Value_type &value, const Iteration_type &iteration, const Index_type &c_1, const Index_type &c_2, const Index_type &v_1, const Index_type &v_2) throw ()

Data Fields

• Network_function_type network_function
• Network_topology network_topology
• Space_function_type space_function
• Space_topology space_topology

---

Detailed Description

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

Template class for the generalize training functions that calculates generalized weight classical way.

Parameters:

	Value_type	is a type of values.
	Iteration_type	is a type of interation counter.
	Network_function_type	is a type of function that will return proper value based on network topology.
	Space_funtion_type	is a type of function that will return proper value based on space topology.
	Network_topology	is a type of function that computes distances between neurons based on network topology.
	Space_topology	is a type of function that computes distance between value and weight in proper topology.
	Index_type	is a type of index in the neural network container.

---

Constructor & Destructor Documentation

template<typename Value_type, typename Iteration_type, typename Network_function_type, typename Space_function_type, typename Network_topology, typename Space_topology, typename Index_type> neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >::Classic_training_weight (  const Network_function_type &  n_f, const Space_function_type &  s_f, const Network_topology &  n_t, const Space_topology &  s_t )  throw () [inline]

Constructor. Parameters: n_f  is a network functor. s_f  is a data space functor. n_t  is a network topology functor. s_t  is a space topology functor.

template<typename Value_type, typename Iteration_type, typename Network_function_type, typename Space_function_type, typename Network_topology, typename Space_topology, typename Index_type> template<typename Value_type_2, typename Iteration_type_2, typename Network_function_type_2, typename Space_function_type_2, typename Network_topology_2, typename Space_topology_2, typename Index_type_2> neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >::Classic_training_weight (  const Classic_training_weight< Value_type_2, Iteration_type_2, Network_function_type_2, Space_function_type_2, Network_topology_2, Space_topology_2, Index_type_2 > &  classic_training_weight  )  throw () [inline]

Copy constructor

---

Member Function Documentation

template<typename Value_type, typename Iteration_type, typename Network_function_type, typename Space_function_type, typename Network_topology, typename Space_topology, typename Index_type> const Space_function_type::value_type neural_net::Classic_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >::operator() (  Value_type &  weight, const Value_type &  value, const Iteration_type &  iteration, const Index_type &  c_1, const Index_type &  c_2, const Index_type &  v_1, const Index_type &  v_2 )  throw () [inline]

Function computes generalized weight for training proces. This weight is not the same as weights in neural network. Parameters: weight  is a weight from neural network. value  is a input value (value that trains network). iteration  is a number of training steps could be number of training data sample. c_1  is a row number (position) in the network of the central neuron. c_2  is a column number (position) in the network of the central neuron. v_1  is a row number (position) in the network of the trained neuron. v_2  is a column number (position) in the network of the trained neuron. where x is value and w is neuron weight.

---

Field Documentation

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

Functor computes weight based on the result from network topology.

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

Functor computes generalized distance in network. Reimplemented from neural_net::Basic_generalized_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >.

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

Functor computes weight based on the result from space topology.

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

Functor computes generalized distance in data space. Reimplemented from neural_net::Basic_generalized_training_weight< Value_type, Iteration_type, Network_function_type, Space_function_type, Network_topology, Space_topology, Index_type >.

---

The documentation for this class was generated from the following file:

• generalized_training_weight.hpp

---