Speeding Up Back-Propagation Learning (SUBPL) Algorithm: A New Modified Back-Propagation Algorithm

Authors

  • Rasha M. Hassoon Department of computer science-College of Education-University of al-mustansiriya, Baghdad, Iraq
  • Safana H. Abbas Assist. Prof., Department of computer science-College of Education-University of al-mustansiriya, Baghdad, Iraq

Keywords:

Back-Propagation, Cuckoo Search, Neural Network, Speeding up Back-Propagation Learning (SUBPL).

Abstract

The convergence speed is the most important feature of Back-Propagation (BP) algorithm. A lot of improvements were proposed
to this algorithm since its presentation, in order to speed up the convergence phase. In this paper, a new modified BP algorithm
called Speeding up Back-Propagation Learning (SUBPL) algorithm is proposed and compared to the standard BP. Different data
sets were implemented and experimented to verify the improvement in SUBPL.

References

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How to Cite

Speeding Up Back-Propagation Learning (SUBPL) Algorithm: A New Modified Back-Propagation Algorithm. (2016). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135), 2(3), 01-10. https://ijerat.com/index.php/ijerat/article/view/101