« Fréquence de décharge » : différence entre les versions


m (Remplacement de texte — « Catégorie:Apprentissage machine » par « Catégorie:Apprentissage automatique‏‎ »)
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== en construction ==
== en construction ==
[[Catégorie:Vocabulary]]
[[Catégorie:Apprentissage automatique‏‎]]
[[Catégorie:UNSW]]
== Définition ==
== Définition ==
XXXXXXXXXXXXXXX
# In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The '''firing rate''' of a neuron is the frequency with which it fires (cf. activation in an artificial neural network.
# In an expert system: when a rule in the expert system is used, it is said to fire.


== Français ==
== Français ==
'''XXXXXXXXXXXXXXX '''
'''taux de déclenchement'''
   
   
== Anglais ==
== Anglais ==
'''firing rate'''
'''firing rate'''


# In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The '''firing rate''' of a neuron is the frequency with which it fires (cf. activation in an artificial neural network.
# In an expert system: when a rule in the expert system is used, it is said to fire.


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[http://www.cse.unsw.edu.au/~billw/dictionaries/mldict.html      Source : INWS machine learning dictionary]  ]
[http://www.cse.unsw.edu.au/~billw/dictionaries/mldict.html      Source : INWS machine learning dictionary]  ]
[[Catégorie:Vocabulary]]
[[Catégorie:Apprentissage automatique‏‎]]
[[Catégorie:UNSW]]

Version du 16 décembre 2021 à 13:11

en construction

Définition

  1. In a biological neural network: neurons in a biological neural network fire when and if they receive enough stimulus via their (input) synapses. This means that an electrical impulse is propagated along the neuron's axon and transmitted to other neurons via the output synaptic connections of the neuron. The firing rate of a neuron is the frequency with which it fires (cf. activation in an artificial neural network.
  2. In an expert system: when a rule in the expert system is used, it is said to fire.

Français

taux de déclenchement

Anglais

firing rate



Source : INWS machine learning dictionary ]