2016
DOI: 10.15199/60.2016.07.3
|View full text |Cite
|
Sign up to set email alerts
|

Sztuczne sieci neuronowe i kierunki ich zastosowań w przemyśle. Podstawowe rodzaje sztucznych sieci neuronowych

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 1 publication
0
2
0
Order By: Relevance
“…Today, neural networks have a layered structure with the following layers: input, output, and hidden layers [97][98][99][100][101][102]. The neuron has a certain number of inputs, to which the input data are introduced: x 1 , x 2 , .…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Today, neural networks have a layered structure with the following layers: input, output, and hidden layers [97][98][99][100][101][102]. The neuron has a certain number of inputs, to which the input data are introduced: x 1 , x 2 , .…”
mentioning
confidence: 99%
“…There are two basic ways of learning: supervised or unsupervised. During the learning process, some connections (weights between neurons) become more important, and some do not participate in solving the problem (this could be compared to the disappearance of connections in the brain), so it is possible to determine which variables are important to solve the existing problem [98,99,101,[104][105][106][107][108][109][110]. The characteristics of a neural network depend to a large extent on how the neurons are connected, the so-called network architecture.…”
mentioning
confidence: 99%