This class is used to optimize model response identify the combinations of variable settings jointly optimize a set of responses. More...

#include <response_optimization.h>

Public Types
enum class	Condition { Between , EqualTo , LessEqualTo , GreaterEqualTo , Minimum , Maximum }
	Enumeration of available conditions for response optimization. More...

Public Member Functions
	ResponseOptimization ()

	ResponseOptimization (NeuralNetwork *)

virtual	~ResponseOptimization ()
	Destructor. More...

Tensor< Condition, 1 >	get_inputs_conditions ()

Tensor< Condition, 1 >	get_outputs_conditions ()

Tensor< type, 1 >	get_inputs_minimums ()

Tensor< type, 1 >	get_inputs_maximums ()

Tensor< type, 1 >	get_outputs_minimums ()

Tensor< type, 1 >	get_outputs_maximums ()

void	set_evaluations_number (const Index &)

void	set_input_condition (const string &, const Condition &, const Tensor< type, 1 > &=Tensor< type, 1 >())

void	set_output_condition (const string &, const Condition &, const Tensor< type, 1 > &=Tensor< type, 1 >())

void	set_input_condition (const Index &, const Condition &, const Tensor< type, 1 > &=Tensor< type, 1 >())

void	set_output_condition (const Index &, const Condition &, const Tensor< type, 1 > &=Tensor< type, 1 >())

void	set_inputs_outputs_conditions (const Tensor< string, 1 > &, const Tensor< string, 1 > &, const Tensor< type, 1 > &=Tensor< type, 1 >())

Tensor< Condition, 1 >	get_conditions (const Tensor< string, 1 > &) const

Tensor< Tensor< type, 1 >, 1 >	get_values_conditions (const Tensor< Condition, 1 > &, const Tensor< type, 1 > &) const

Tensor< type, 2 >	calculate_inputs () const

Tensor< type, 2 >	calculate_envelope (const Tensor< type, 2 > &, const Tensor< type, 2 > &) const

ResponseOptimizationResults *	perform_optimization () const

Private Member Functions
type	calculate_random_uniform (const type &, const type &) const

Private Attributes
NeuralNetwork *	neural_network_pointer = nullptr

Tensor< Condition, 1 >	inputs_conditions

Tensor< Condition, 1 >	outputs_conditions

Tensor< type, 1 >	inputs_minimums

Tensor< type, 1 >	inputs_maximums

Tensor< type, 1 >	outputs_minimums

Tensor< type, 1 >	outputs_maximums

Index	evaluations_number = 1000

Detailed Description

This class is used to optimize model response identify the combinations of variable settings jointly optimize a set of responses.

This tool is adequate when you need to know the behaviour of a multiple variables on a response and satisfy the requirements of the architecture.

Definition at line 37 of file response_optimization.h.

Member Enumeration Documentation

◆ Condition

enum class Condition

strong

Enumeration of available conditions for response optimization.

Definition at line 52 of file response_optimization.h.

Constructor & Destructor Documentation

◆ ResponseOptimization() [1/2]

ResponseOptimization ( )

explicit

Default constructor. It creates a scaling layer object with no scaling neurons.

Definition at line 17 of file response_optimization.cpp.

◆ ResponseOptimization() [2/2]

ResponseOptimization ( NeuralNetwork * new_neural_network_pointer )

explicit

Definition at line 22 of file response_optimization.cpp.

◆ ~ResponseOptimization()

~ResponseOptimization ( )

virtual

Destructor.

Definition at line 45 of file response_optimization.cpp.

Member Function Documentation

◆ calculate_envelope()

Tensor< type, 2 > calculate_envelope	(	const Tensor< type, 2 > &	inputs,
		const Tensor< type, 2 > &	outputs
	)		const

Definition at line 480 of file response_optimization.cpp.

◆ calculate_inputs()

Tensor< type, 2 > calculate_inputs ( ) const

Definition at line 462 of file response_optimization.cpp.

◆ calculate_random_uniform()

type calculate_random_uniform	(	const type &	minimum,
		const type &	maximum
	)		const

private

Definition at line 554 of file response_optimization.cpp.

◆ get_conditions()

Tensor< ResponseOptimization::Condition, 1 > get_conditions ( const Tensor< string, 1 > & conditions_string ) const

Definition at line 341 of file response_optimization.cpp.

◆ get_inputs_conditions()

Tensor< ResponseOptimization::Condition, 1 > get_inputs_conditions ( )

Definition at line 56 of file response_optimization.cpp.

◆ get_inputs_maximums()

Tensor< type, 1 > get_inputs_maximums ( )

Definition at line 74 of file response_optimization.cpp.

◆ get_inputs_minimums()

Tensor< type, 1 > get_inputs_minimums ( )

Definition at line 68 of file response_optimization.cpp.

◆ get_outputs_conditions()

Tensor< ResponseOptimization::Condition, 1 > get_outputs_conditions ( )

Definition at line 62 of file response_optimization.cpp.

◆ get_outputs_maximums()

Tensor< type, 1 > get_outputs_maximums ( )

Definition at line 86 of file response_optimization.cpp.

◆ get_outputs_minimums()

Tensor< type, 1 > get_outputs_minimums ( )

Definition at line 80 of file response_optimization.cpp.

◆ get_values_conditions()

Tensor< Tensor< type, 1 >, 1 > get_values_conditions	(	const Tensor< Condition, 1 > &	,
		const Tensor< type, 1 > &
	)		const

Definition at line 381 of file response_optimization.cpp.

◆ perform_optimization()

ResponseOptimizationResults * perform_optimization ( ) const

Todo:: Update method.

Definition at line 500 of file response_optimization.cpp.

◆ set_evaluations_number()

void set_evaluations_number ( const Index & new_evaluations_number )

Definition at line 50 of file response_optimization.cpp.

◆ set_input_condition() [1/2]

void set_input_condition	(	const Index &	index,
		const Condition &	condition,
		const Tensor< type, 1 > &	values = `Tensor<type, 1>()`
	)

Definition at line 109 of file response_optimization.cpp.

◆ set_input_condition() [2/2]

void set_input_condition	(	const string &	name,
		const Condition &	condition,
		const Tensor< type, 1 > &	values = `Tensor<type, 1>()`
	)

Definition at line 91 of file response_optimization.cpp.

◆ set_inputs_outputs_conditions()

void set_inputs_outputs_conditions	(	const Tensor< string, 1 > &	names,
		const Tensor< string, 1 > &	conditions_string,
		const Tensor< type, 1 > &	values = `Tensor<type, 1>()`
	)

Todo:: Update method.

Definition at line 309 of file response_optimization.cpp.

◆ set_output_condition() [1/2]

void set_output_condition	(	const Index &	index,
		const Condition &	condition,
		const Tensor< type, 1 > &	values = `Tensor<type, 1>()`
	)

Definition at line 208 of file response_optimization.cpp.

◆ set_output_condition() [2/2]

void set_output_condition	(	const string &	name,
		const Condition &	condition,
		const Tensor< type, 1 > &	values = `Tensor<type, 1>()`
	)

Definition at line 101 of file response_optimization.cpp.

Member Data Documentation

◆ evaluations_number

Index evaluations_number = 1000

private

Definition at line 98 of file response_optimization.h.

◆ inputs_conditions

Tensor<Condition, 1> inputs_conditions

private

Definition at line 89 of file response_optimization.h.

◆ inputs_maximums

Tensor<type, 1> inputs_maximums

private

Definition at line 93 of file response_optimization.h.

◆ inputs_minimums

Tensor<type, 1> inputs_minimums

private

Definition at line 92 of file response_optimization.h.

◆ neural_network_pointer

NeuralNetwork* neural_network_pointer = nullptr

private

Definition at line 87 of file response_optimization.h.

◆ outputs_conditions

Tensor<Condition, 1> outputs_conditions

private

Definition at line 90 of file response_optimization.h.

◆ outputs_maximums

Tensor<type, 1> outputs_maximums

private

Definition at line 96 of file response_optimization.h.

◆ outputs_minimums

Tensor<type, 1> outputs_minimums

private

Definition at line 95 of file response_optimization.h.

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

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Enumeration Documentation

◆ Condition

Constructor & Destructor Documentation

◆ ResponseOptimization() [1/2]

◆ ResponseOptimization() [2/2]

◆ ~ResponseOptimization()

Member Function Documentation

◆ calculate_envelope()

◆ calculate_inputs()

◆ calculate_random_uniform()

◆ get_conditions()

◆ get_inputs_conditions()

◆ get_inputs_maximums()

◆ get_inputs_minimums()

◆ get_outputs_conditions()

◆ get_outputs_maximums()

◆ get_outputs_minimums()

◆ get_values_conditions()

◆ perform_optimization()

◆ set_evaluations_number()

◆ set_input_condition() [1/2]

◆ set_input_condition() [2/2]

◆ set_inputs_outputs_conditions()

◆ set_output_condition() [1/2]

◆ set_output_condition() [2/2]

Member Data Documentation

◆ evaluations_number

◆ inputs_conditions

◆ inputs_maximums

◆ inputs_minimums

◆ neural_network_pointer

◆ outputs_conditions

◆ outputs_maximums

◆ outputs_minimums