Object structure

Title:

Eural networks foundations for traffic forecasting

Subtitle:

Raport Badawczy = Research Report ; RB/32/2001

Creator:

Krawczak, Maciej. Autor

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2001

Description:

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

Subject and Keywords:

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

Abstract:

Most observational disciplines, such as traffic, try to infer 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. During the last decade, several new and innovative approaches have appeared, such as neural networks and time-delay embedding, which can give insights not available with those standard methods - however the realization of this promise is still difficult.

Relation:

Raport Badawczy = Research Report

Resource Type:

Report

Source:

RB-2001-32

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.


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