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Title: Multi-layered Bayesian Neural Networks for Simulation and Prediction Stress-Strain Time Series, Journal of Telecommunications and Information Technology, 2015, nr 3

Creator:

Krok, Agnieszka

Date:

2015, nr 3

Resource Type:

artykuł

Description:

The aim of the paper is to investigate the differences as far as the numerical accuracy is concerned between feedforward layered Artificial Neural Networks (ANN) learned by means of Kalman filtering (KF) and ANN learned by means of the evidence procedure for Bayesian technique. The stress- strain experimental time series for concrete hysteresis loops obtained by the experiment of cyclic loading is presented as considered example.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1868

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

Kalman filtering Bayesian Neural Networks

Object collections:

Last modified:

Feb 16, 2016

In our library since:

Feb 16, 2016

Number of object content hits:

102

All available object's versions:

https://bc.itl.waw.pl/publication/2134

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Edition name Date
Krok, Agnieszka, 2015, nr 3, Multi-layered Bayesian Neural Networks for Simulation and Prediction Stress-Strain Time Series, Journal of Telecommunications and Information Technology, 2015, nr 3 Feb 16, 2016

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