Parameters for pulse coupled neural network. More...

Public Member Functions
def	__init__ (self)
	Default constructor of parameters for pulse-coupled neural network. More...

Public Attributes
	VF
	Multiplier for the feeding compartment at the current step. More...

	VL
	Multiplier for the linking compartment at the current step. More...

	VT
	Multiplier for the threshold at the current step. More...

	AF
	Multiplier for the feeding compartment at the previous step. More...

	AL
	Multiplier for the linking compartment at the previous step. More...

	AT
	Multiplier for the threshold at the previous step. More...

	W
	Synaptic weight - neighbours influence on linking compartment. More...

	M
	Synaptic weight - neighbours influence on feeding compartment. More...

	B
	Linking strength in the network. More...

	FAST_LINKING
	Enable/disable Fast-Linking mode. More...

Detailed Description

Parameters for pulse coupled neural network.

Definition at line 53 of file pcnn.py.

Constructor & Destructor Documentation

◆ init()

def pyclustering.nnet.pcnn.pcnn_parameters.__init__ ( self )

Default constructor of parameters for pulse-coupled neural network.

Constructor initializes parameters by default non-zero values that can be used for simple simulation.

Definition at line 59 of file pcnn.py.

Member Data Documentation

◆ AF

pyclustering.nnet.pcnn.pcnn_parameters.AF

Multiplier for the feeding compartment at the previous step.

Definition at line 77 of file pcnn.py.

◆ AL

pyclustering.nnet.pcnn.pcnn_parameters.AL

Multiplier for the linking compartment at the previous step.

Definition at line 80 of file pcnn.py.

◆ AT

pyclustering.nnet.pcnn.pcnn_parameters.AT

Multiplier for the threshold at the previous step.

Definition at line 83 of file pcnn.py.

◆ B

pyclustering.nnet.pcnn.pcnn_parameters.B

Linking strength in the network.

Definition at line 94 of file pcnn.py.

◆ FAST_LINKING

pyclustering.nnet.pcnn.pcnn_parameters.FAST_LINKING

Enable/disable Fast-Linking mode.

Fast linking helps to overcome some of the effects of time quantisation. This process allows the linking wave to progress a lot faster than the feeding wave.

Definition at line 97 of file pcnn.py.

◆ M

pyclustering.nnet.pcnn.pcnn_parameters.M

Synaptic weight - neighbours influence on feeding compartment.

Definition at line 90 of file pcnn.py.

◆ VF

pyclustering.nnet.pcnn.pcnn_parameters.VF

Multiplier for the feeding compartment at the current step.

Definition at line 67 of file pcnn.py.

◆ VL

pyclustering.nnet.pcnn.pcnn_parameters.VL

Multiplier for the linking compartment at the current step.

Definition at line 70 of file pcnn.py.

◆ VT

pyclustering.nnet.pcnn.pcnn_parameters.VT

Multiplier for the threshold at the current step.

Definition at line 73 of file pcnn.py.

◆ W

pyclustering.nnet.pcnn.pcnn_parameters.W

Synaptic weight - neighbours influence on linking compartment.

Definition at line 87 of file pcnn.py.

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

pyclustering/nnet/pcnn.py

Public Member Functions

Public Attributes