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Pregled bibliografske jedinice broj: 460783

Časopis

Autori: Hocenski, Željko; Antunović, Mladen; Filko, Damir
Naslov: Accelerated gradient learning algorithm for neural network weights update
Izvornik: Neural computing & applications (0941-0643) 19 (2010), 2; 219-225
Vrsta rada: članak
Ključne riječi: neural network; weights update; gradient learning method; parallel processing.
Sažetak:
This work proposes decomposition of square approximation algorithm for neural network weights update. Suggested improvement results in alternative method that converge in less iteration and is inherently parallel. 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 up to 40% in multiple thread execution.
Projekt / tema: 165-0362980-2002, 165-0361621-2000
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo
URL Internet adrese: http://springerlink.metapress.com/content/q075765307020954/resource-secured/?target=fulltext.pdf&sid=303dz23gcltbyi55qcqa2j55&sh=www.springerlink.com
http://www.springerlink.com/content/q075765307020954/?p=0b965179294948a1ae4b4d5cbfadc08f&pi=5
Broj citata:
Altmetric:
DOI: 10.1007/s00521-009-0286-7
URL cjelovitog teksta:
Google Scholar: Accelerated gradient learning algorithm for neural network weights update
Upisao u CROSBI: hoc@etfos.hr (hoc@etfos.hr), 5. Tra. 2010. u 16:32 sati
Napomene:
Special Issue - KES2008 ; Rad je kao predavanje prezentiran na skupu 12th International Conference Knowledge-Based Intelligent Information and Engineering System (KES 2008), održanom od 03.-05.09.2008., Zagreb, Hrvatska ; u cjelosti je uz međunarodnu recenziju objavljen u Proceedings, Part I. ; Ignac Lovrek, Robert J. Howlett, Lakhmi C. Jain (ur.) ; Lecture Notes in Computer Science. Vol. 5177 ; Berlin : Springer, 2008. ; ISBN 978-3-540-85562-0 ; str. 49-56.



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