Parallel Execution of Square Approximation Learning Algorithm for MLP Neural Networks (CROSBI ID 541706)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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