MODEL OF CLONAL SELECTION FOR FORECASTING TIME SERIES WITH MISSING DATA

  • Н. М. Кораблев
  • Г. С. Иващенко

Abstract

This paper proposes the hybrid method of short-term forecasting of time series with missing values using artificial immune systems. A model of the prediction based on the model of clonal selection, which uses heterogeneous antibodies that are based on the case based reasoning method and simple prediction models. The experimental results illustrate the features of the proposed approach.

Published
2019-02-28
How to Cite
Кораблев, Н., & Иващенко, Г. (2019). MODEL OF CLONAL SELECTION FOR FORECASTING TIME SERIES WITH MISSING DATA. Electrotechnic and Computer Systems, (13(89), 170-177. Retrieved from https://eltecs.op.edu.ua/index.php/journal/article/view/1574
Section
Artificial Intellect Systems