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Książka = Book ; KS/6/2010/T2P14
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[5], 149-164 pages ; 21 cm ; Bibliography p. 160-162
In this paper we developed a technique of an envelopes approximation of time series, and an application of the envelopes for solving a classification problem of time series. Next, we introduced upper and lower envelopes as well as a way to compress them by a neural network. Obtained in such a way essential attributes were used to generate rules for time series classification. The obtained rules can classify the testing example with 100 % accuracy.
Creative Commons Attribution BY 4.0 license
Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Systems Research Institute of the Polish Academy of Sciences
Library of Systems Research Institute PAS
Oct 15, 2021
Jul 19, 2021
54
https://rcin.org.pl./publication/234691
Krawczak, Maciej Szkatuła, Grażyna
Krawczak, Maciej Szkatuła, Grażyna
Krawczak, Maciej Szkatuła, Grażyna