Inny tytuł:

Raport Badawczy = Research Report ; RB/58/2001

Wydawca:

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

Miejsce wydania:

Warszawa

Opis:

40 pages ; 21 cm ; Bibliography p. 37-40

Abstrakt:

In this study, a class of neural arhitectures of polynomial neural networks (PNNs) was introduced and investigated. A comprehensive design methodology is discussed. A series of numeric experiments were carried out. PNN is a flexible neural architecture whose structure (topology) is deveoped through learining. The number of layers of the PNN is not fixes in advance but is generated on the fly. In this sense, PNN is a self-organizing network. The essence of the design procedure dwells on the Group Method of Data handling (GMDH). Each node of the PNN exhibits a high level of flexibility and realizes a polynomial type of mapping (linear, quadratic, and cubic) between input and output variables. The experimental part of the study involves two representative time series such as Box-Jenkins gas furnace data and a pH netralization process.

Czasopismo/Seria/cykl:

Raport Badawczy = Research Report

Szczegółowy typ zasobu:

Report

Identyfikator zasobu:

oai:rcin.org.pl:129950

Źródło:

RB-2001-58

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

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: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

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.

Dostęp:

Open