INTELLIGENT WEATHER FORECAST SYSTEM

Authors

  • V. M. Sineglazov National Aviation University, Kyiv, Ukraine
  • M. O. Omelchenko National Aviation University, Kyiv, Ukraine
  • V. P. Hotsyanivskyy National Aviation University, Kyiv, Ukraine

DOI:

https://doi.org/10.18372/1990-5548.55.12778

Keywords:

Machine learning, python, data science

Abstract

It is considered the creation of intelligent weather forecast system in traditional statement as the prediction of time series For the solution of this problem it is chosen a random forest algorithm. Examples of program implementation of the algorithm are given using libraries for the python programming language, namely Pandas and skicit-learn. It is considered a problem solution for a number of real examples and corresponding results are represented

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv, Ukraine

Aviation Computer-Integrated Complexes Department, Educational & Research Institute of Information and Diagnostic Systems

Doctor of Engineering Science. Professor

M. O. Omelchenko, National Aviation University, Kyiv, Ukraine

Aviation Computer-Integrated Complexes Department, Educational & Research Institute of Information and Diagnostic Systems

Student

V. P. Hotsyanivskyy, National Aviation University, Kyiv, Ukraine

Aviation Computer-Integrated Complexes Department, Educational & Research Institute of Information and Diagnostic Systems

Student

References

Ron Kohavi; Foster Provost, “Glossary of terms,” Machine Learning, Kluwer Academic Publishers, Boston, Manufactured in The Netherlands, vol. 30, pp. 271–274, 1998.

Machine learning and pattern recognition "can be viewed as two facets of the same field."

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Issue

Vol. 1 No. 55 (2018)

Section

COMPUTER-AIDED DESIGN SYSTEMS

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