MODELING OF ARTIFICIAL NEURAL NETWORKS IN THE MATLAB ENVIRONMENT

Authors

  • Mirabror Vakhidov PhD student, Tashkent State Transport University, Republic of Uzbekistan, Tashkent, E-mail: mvx1995jd@gmail.com
  • Otabek Khamidov doctor of technical sciences, professor Tashkent State Transport University, Republic of Uzbekistan, Tashkent,

Keywords:

neural network, modeling, weights, computing, optimization, input, hidden layer, output.

Abstract

This article solves the problem of developing a template that allows you to get acquainted with the process of creating and training, as well as predicting the results of neural networks in the Matlab system. The end result of the work is designed to help students of technical specialties and master the initial stage of working with neural networks. To implement the task, the MatlabR2013b system is used

References

Komashinsky V.I., Smirnov D.A.Neural networks and their application in control and communication systems. - M.: Hot line - Telecom, 2003. - 94 p.

Semeykin V.D.The main directions of application of neuroinformation technologies in communication systems // Intern. informatization forum (IFI-2005). International congress “Communication technologies and networks (CTN-2005). - M.: MTUSI, 2005. - S. 52-54.

Neural networks. STATISTICS Neural Networks. - M.: Hot line - Telecom, 2000. - S. 392.

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Published

2023-09-18