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Significados de snn en inglés

ruso
нейросеть
portugués
rede neural artificial
español
red neural artificial
catalán
xarxa neuronal artificial
Wikidata

Computational model used in machine learning, based on connected, hierarchical functions.

red neural artificial
ruso
импульсная нейронная сеть
portugués
modelos de disparos neuronais
español
red neuronal de impulsos

Artificial neural network that mimics real neurons by incorporate the concept of time, in which neurons fire when its potential reaches a target value.

Términos relacionados
red neuronal de impulsos
español
red neuronal estocastica

Stochastic neural networks are a type of artificial neural networks built by introducing random variations into the network, either by giving the network's neurons stochastic transfer functions, or by giving them stochastic weights.

Ver más
red neuronal estocastica

Independent television station in Sarasota, Florida, United States.

Términos relacionados
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Uso de snn en inglés
1
SNN was born in the Eastern Cape town of Bizana, in 1996.
The South African
2
Results: One hundred percent of the SNs were identified with our SNNS method.
Pubmed
3
Four peptides constituting the model were selected by supervised neural network algorithm (SNN).
Pubmed
4
In addition, the impact of device variations on the performance of the on-chip training SNN system is evaluated.
Pubmed
5
To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpropagation algorithm suitable for hardware implementation.
Pubmed
6
The interplay between miR-491-3p and SNN was evaluated through dual luciferase reporter gene assay.
Pubmed
7
The performance of the on-chip training SNN system is validated through MNIST data set classification based on network size and total time step.
Pubmed
8
We found out that SNN was the pairing target of miR-491-3p and result showed that miR-491-3p and SNN interacted with each other.
Pubmed
9
We also found out that the effects of miR-491-3p were in Rb cells were almost entirely canceled out at the overexpression of SNN.
Pubmed
10
The SNN systems achieve accuracy of 97.83% with 1 hidden layer and 98.44% with 4 hidden layers in fully connected neural networks.
Pubmed