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Title: The Development of Kalman Filter Learning Technique for Artificial Neural Networks, Journal of Telecommunications and Information Technology, 2013, nr 4

Creator:

Krok, Agnieszka

Date:

2013, nr 4

Resource Type:

artykuł

Description:

The paper presents an idea of using the Kalman Filtering (KF) for learning the Artificial Neural Networks (ANN). It is shown that KF can be fully competitive or more beneficial method with comparison standard Artificial Neural Networks learning techniques. The development of the method is presented respecting selective learning of chosen part of ANN. Another issue presented in this paper is the author’s concept of automatic selection of architecture of ANN learned by means of KF based on removing unnecessary connection inside the network. The effectiveness of presented ideas is illustrated on the examples of time series modeling and prediction. Considered data came from the experiments and situ measurements in the field of structural mechanics and materials.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1613 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2013.4.1235

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

Artificial Neural Networks Kalman Filter

Object collections:

Last modified:

Sep 2, 2024

In our library since:

May 7, 2014

Number of object content hits:

79

All available object's versions:

https://bc.itl.waw.pl/publication/1806

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Edition name Date
Krok, Agnieszka, The Development of Kalman Filter Learning Technique for Artificial Neural Networks, Journal of Telecommunications and Information Technology Sep 2, 2024

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(+48) 5128 696

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