Tytuł:

Eural Networks Foundations for Traffic Forecasting

Inny tytuł:

Raport Badawczy = Research Report ; RB/32/2001

Twórca:

Krawczak, Maciej

Wydawca:

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

Miejsce wydania:

Warszawa

Data wydania/powstania:

2001

Opis:

15 pages ; 21 cm ; Bibliography p. 13-15

Temat i słowa kluczowe:

Sieci neuronowe ; Neural networks ; Traffic forecasting ; Prognozowanie ruchu drogowego

Abstrakt:

Most observational disciplines, such as traffic, try to infer the properties of an unfamiliar system from the analysis of a measured data of its behavior. There are many highly developed techniques associated with traditional time series analysis. The paper focuses on the possibility of applying a new approach, such as neural networks and time-delay embedding, which can give insights not available with those standard methods. The possibility of designing appropriate neural networks for prediction of time series on the basis of information obtained from stochastic modeling was investigated.

Czasopismo/Seria/cykl:

Raport Badawczy = Research Report

Typ zasobu:

Text

Szczegółowy typ zasobu:

Report

Źródło:

RB-2001-32

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