Subtitle:

Książka = Book ; KS/1/2002/P10

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[1-2], 153-165 pages ; 21 cm ; Bibliography p. 164-165

Type of object:

Book/Chapter

Abstract:

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.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:206693

Source:

KS-2002-01-P10

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open