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Parallel Execution of Square Approximation Learning Algorithm for MLP Neural Networks (CROSBI ID 541706)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Antunović, Mladen ; Filko, Damir ; Hocenski, Željko Parallel Execution of Square Approximation Learning Algorithm for MLP Neural Networks // 16th Mediterranean Conference on Control and Automation. Ajaccio: Institute of Electrical and Electronics Engineers (IEEE), 2008. str. 1816-1821

Podaci o odgovornosti

Antunović, Mladen ; Filko, Damir ; Hocenski, Željko

engleski

Parallel Execution of Square Approximation Learning Algorithm for MLP Neural Networks

This work gives improvement of gradient learning algorithms for adjusting neural network weights. Suggested improvement results in alternative method that converge in less iteration and is inherently parallel, convenient for implementation on computer grid. Experimental results show time savings in multiple thread execution for a wide range of MLP neural network parameters, such as size of input/output data matrix, number of neurons and layers.

neural network; learning algorithm; gradient method; parallel execution; time efficiency; Hessian

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Podaci o prilogu

1816-1821.

2008.

objavljeno

Podaci o matičnoj publikaciji

16th Mediterranean Conference on Control and Automation

Ajaccio: Institute of Electrical and Electronics Engineers (IEEE)

978-1-4244-2505-1

Podaci o skupu

16th Mediterranean Conference on Control and Automation

predavanje

25.06.2008-27.06.2008

Ajaccio, Francuska

Povezanost rada

Elektrotehnika, Računarstvo