Title:

Eural Networks Foundations for Traffic Forecasting

Subtitle:

Raport Badawczy = Research Report ; RB/32/2001

Creator:

Krawczak, Maciej

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 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.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed 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.

Access:

Open