DUKASCOPY AS A METHOD OF NORMALIZATION OF NEURAL NETWORKS

Authors

  • Дмитрий Сергеевич Панченко Восточноукраинский национальный университет им. В.Даля кв. Молодежный, 20-a, г. Луганск, Украина, 91000, Ukraine
  • Евгений Геннадиевич Антипин Восточноукраинский национальный университет им. В.Даля кв. Молодежный, 20-a, г. Луганск, Украина, 91000, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2012.4171

Keywords:

normalization, neural networks, dukascopy, prediction

Abstract

The paper presents a new solution of the problem of normalization of the input vectors for neural networks through dukascopy, particularly for time series prediction.

Author Biographies

Дмитрий Сергеевич Панченко, Восточноукраинский национальный университет им. В.Даля кв. Молодежный, 20-a, г. Луганск, Украина, 91000

Студент

Кафедра автоматизации и компьютерно-интегрированных технологий

Евгений Геннадиевич Антипин, Восточноукраинский национальный университет им. В.Даля кв. Молодежный, 20-a, г. Луганск, Украина, 91000

Ассистент

Кафедра автоматизации и компьютерно-интегрированных технологий

References

  1. Дукаскопия - http://www.dukascopy.narod.ru/.
  2. Портал искусственного интеллекта - http://www.aiportal.ru/.

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Published

2012-06-01

How to Cite

Панченко, Д. С., & Антипин, Е. Г. (2012). DUKASCOPY AS A METHOD OF NORMALIZATION OF NEURAL NETWORKS. Eastern-European Journal of Enterprise Technologies, 3(9(57), 58–60. https://doi.org/10.15587/1729-4061.2012.4171

Issue

Vol. 3 No. 9(57) (2012): Information and control systems

Section

Information and controlling system

License

Copyright (c) 2014 Дмитрий Сергеевич Панченко, Евгений Геннадиевич Антипин

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