GRLNeuro::Parameters Struct Reference

Struct to keep neurotrigger parameters. More...

#include <GRLNeuro.h>

Collaboration diagram for GRLNeuro::Parameters:

Public Attributes
unsigned	nMLP
	Number of networks. More...
std::vector< std::vector< float > >	nHidden
	Number of nodes in each hidden layer for all networks or factor to multiply with number of inputs. More...
bool	targetresult = true
	train result as output
bool	multiplyHidden = false
	If true, multiply nHidden with number of input nodes.
std::vector< std::vector< float > >	outputScale = {{ -1., 1.}}
	Output scale for all networks.
unsigned	n_cdc_sector
	Number of CDC sectors.
std::vector< float >	i_cdc_sector
unsigned	n_ecl_sector
	Number of ECL sectors.
std::vector< float >	i_ecl_sector

Detailed Description

Struct to keep neurotrigger parameters.

Contains all information that is needed to initialize several expert MLPs (not including values determined during training).

Definition at line 33 of file GRLNeuro.h.

Member Data Documentation

nHidden

std::vector<std::vector<float> > nHidden

Number of nodes in each hidden layer for all networks or factor to multiply with number of inputs.

The number of layers is derived from the shape.

Definition at line 44 of file GRLNeuro.h.

nMLP

unsigned nMLP

Number of networks.

For network specific parameters you can give either a list with values for each network, or a single value that will be used for all. The ranges are also valid if nPhi * nPt * nTheta * nPattern = nMLPs.

Definition at line 39 of file GRLNeuro.h.

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

• trg/grl/include/GRLNeuro.h