pyclustering.nnet.pcnn.pcnn_parameters Class Reference

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.
	VL
	Multiplier for the linking compartment at the current step.
	VT
	Multiplier for the threshold at the current step.
	AF
	Multiplier for the feeding compartment at the previous step.
	AL
	Multiplier for the linking compartment at the previous step.
	AT
	Multiplier for the threshold at the previous step.
	W
	Synaptic weight - neighbours influence on linking compartment.
	M
	Synaptic weight - neighbours influence on feeding compartment.
	B
	Linking strength in the network.
	FAST_LINKING
	Enable/disable Fast-Linking mode. More...

Detailed Description

Parameters for pulse coupled neural network.

Definition at line 29 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 35 of file pcnn.py.

Member Data Documentation

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 73 of file pcnn.py.

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

• pyclustering/nnet/pcnn.py