APPLICATION OF MULTIPROCESSOR SYSTEMS FOR IMPLEMENTATION OF MULTILAYER PERCEPTRON

Authors

  • I. V. Novoseltsev Kharkiv National University of Radio Electronics, Ukraine
  • N. G. Aksak Kharkiv National University of Radio Electronics, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2008-1-21

Abstract

In this work the MP model realization on multiprocessing system is offered. The processors organization as a star topology is offered. The given approach allows considerably to lower time of training neural network and enables receptions of the maximal acceleration limited to number of available processors.

Author Biographies

I. V. Novoseltsev, Kharkiv National University of Radio Electronics

Postgraduate student

N. G. Aksak, Kharkiv National University of Radio Electronics

Ph.D., Senior Researcher

References

Richard O. Duda, Peter E. Hart, David G. Stork. Pattern classification: Wiley-Interscience; 2nd edition, 2000. – 680 p.

Gergel' V. P., Strongin R. G. Osnovy parallel'nykh vychisleniy dlya mnogoprotsessornykh vychislitel'nykh sistem: Uchebnoye posobiye Nizhegorodskiy gosuniversiteta. – Nizhniy Novgorod, 2003. – 184 c.

Saymon Khaykin. Neyronnyye seti: polnyy kurs, 2-ye izdaniye. M.: Izdatel'skiy dom «Vil'yams», 2006. – 1104 s.

Mirkes Ye. M. Uchebnoye posobiye po kursu NEYROINFORMATIKA. – Krasnoyarsk, 2002. – 347 s.

Ben Krose, Patrick van der Smagt. An Introduction to Neural Networks: University of Amsterdam, 1996. – 154 p.

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Published

2024-11-05

How to Cite

Novoseltsev, I. V., & Aksak, N. G. (2024). APPLICATION OF MULTIPROCESSOR SYSTEMS FOR IMPLEMENTATION OF MULTILAYER PERCEPTRON. Radio Electronics, Computer Science, Control, (1), 108. https://doi.org/10.15588/1607-3274-2008-1-21

Issue

No. 1 (2008): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 I. V. Novoseltsev, N. G. Aksak

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