Książka = Book ; KS/1/2002/P10
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[1-2], 153-165 stron ; 21 cm ; Bibliografia s. 164-165
In the artificial neural networks literature Little attention has been given to consideration of neural networks from the point of view of graph theory. Examination of neural networks as flow graphs gives very interesting and new properties of the neural networks' learning process. The approach is based on tools used in electric circuits when Kirchhoff s laws may not be valid. The analysis leads to the proper equations of the backpropagation algorithm, but in a much simpler manner. The graph methodology incorporates the reciprocal graphs in which signals flow in opposite directions. Neural networks in which signals flow in opposite direction are called the adjoint neural networks.
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 15, 2021
Aug 25, 2021
34
https://rcin.org.pl./publication/243555
Krawczak, Maciej
Krawczak, Maciej
Krawczak, Maciej
Krawczak, Maciej
Krawczak, Maciej
Krawczak, Maciej