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Pregled bibliografske jedinice broj: 366243

Zbornik radova

Autori: Hocenski, Željko; Antunović, Mladen; Filko, Damir
Naslov: Accelerated Gradient Learning Algorithm for Neural Network Weights Update
( Accelerated Gradient Learning Algorithm for Neural Network Weights Update )
Izvornik: Knowledge-Based Intelligent Information and Engineering Systems / Ignac Lovrek and Robert J. Howlett and Lakhmi C. Jain (ur.). - Heidelberg : Springer , 2008. 49-56 (ISBN: 978-3-540-85562-0).
Skup: Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Mjesto i datum: Zagreb, Hrvatska, 3-5.9.2008.
Ključne riječi: time critical processes; algorithm decomposition; neural network; weights update; gradient learning method; parallel processing
( time critical processes; algorithm decomposition; neural network; weights update; gradient learning method; parallel processing )
Sažetak:
This work proposes decomposition of gradient learning algorithm for neural network weights update. Decomposition enables parallel execution convenient for implementation on computer grid. Improvements are reflected in accelerated learning rate which may be essential for time critical decision processes. Proposed solution is tested and verified on MLP neural network case study, varying a wide range of parameters, such as number of inputs/outputs, length of input/output data, number of neurons and layers. Experimental results show time savings in multiple thread execution.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 165-0361621-2000
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo
Upisao u CROSBI: mladen@etfos.hr (mladen@etfos.hr), 23. Ruj. 2008. u 15:55 sati



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