WEB BASED EDUCATIONAL SOFTWARE FOR ARTIFICIAL NEURAL NETWORKS

9 2

Authors

  • Tuncay YİĞİT
  • Ali Hakan IŞIK
  • Mehmet BİLEN

Keywords:

Artificial neural networks, simulation, web based

Abstract

Artificial Neural Networks (ANN) is an important data processing algorithm for students, researches, scientist, mathematicians, academicians and engineers which is inspired by human brain and human brain’s learning methods. Complex nature and mathematical structures of ANN makes it difficult to learn. Due to this reason, new methods have to be employed to teach ANN. In this study, we design and develop web based educational software which combines advantages of examined works to teach artificial neural networks with the support of multimedia course content. In addition, relevant studies such as Neuro-Lab, EasyLearnNN, NeuroFuzz and related most popular professional commercial tools such as MATLAB, Statistica, Mathematica, NeuroSolutions, JOONE are also examined. Developed software will help researchers from students to scientist to train, test an ANN model and understand fundamentals of ANN.
Cover

Downloads

Published

2014-09-01

How to Cite

YİĞİT, T., IŞIK, A. H., & BİLEN, M. (2014). WEB BASED EDUCATIONAL SOFTWARE FOR ARTIFICIAL NEURAL NETWORKS. The Eurasia Proceedings of Educational and Social Sciences, 1, 276–279. Retrieved from https://epess.net/index.php/epess/article/view/43

Issue

Vol. 1 (2014)

Section

Articles

License

Copyright (c) 2014 The Eurasia Proceedings of Educational and Social Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The articles may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material. All authors are requested to disclose any actual or potential conflict of interest including any financial, personal or other relationships with other people or organizations regarding the submitted work.