Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Towards a New Approach to Improve the Classification Accuracy of the Kohonen’s Self-Organizing Map During Learning Process

Author 1: El Khatir HAIMOUDI Author 2: Hanane FAKHOURI Author 3: Loubna CHERRAT Author 4: Mostafa Ezziyyani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 3 · Published 2016 · Cited by 10

DOI: https://doi.org/10.14569/IJACSA.2016.070333

Download PDF Cite Call for Papers

Abstract

Kohonen self-organization algorithm, known as “topologic maps algorithm”, has been largely used in many applications for classification. However, few theoretical studies have been proposed to improve and optimize the learning process of classification and clustering for dynamic and scalable systems taking into account the evolution of multi-parameter objects. Our objective in this paper is to provide a new approach to improve the accuracy and quality of the classification method based on the basic advantages of the Kohonen self-organization algorithm and on new network functions to pre-eliminate the auto-detected of drawbacks and redundancy.

Keywords

Artificial neural networks self-organization map Learning algorithm Classification Clustering Principal components Analysis power iteration

How to Cite this Article

HAIMOUDI, E. K., FAKHOURI, H., CHERRAT, L., & Ezziyyani, M. (2016). Towards a New Approach to Improve the Classification Accuracy of the Kohonen’s Self-Organizing Map During Learning Process. International Journal of Advanced Computer Science and Applications, 7(3). https://doi.org/10.14569/IJACSA.2016.070333

HAIMOUDI, El Khatir, et al.. "Towards a New Approach to Improve the Classification Accuracy of the Kohonen’s Self-Organizing Map During Learning Process." International Journal of Advanced Computer Science and Applications, vol. 7, no. 3, 2016, https://doi.org/10.14569/IJACSA.2016.070333.

@article{HAIMOUDI2016,
  title     = {Towards a New Approach to Improve the Classification Accuracy of the Kohonen’s Self-Organizing Map During Learning Process},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {3},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {El Khatir HAIMOUDI and Hanane FAKHOURI and Loubna CHERRAT and Mostafa Ezziyyani},
  doi       = {10.14569/IJACSA.2016.070333},
  url       = {https://doi.org/10.14569/IJACSA.2016.070333}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA