Prediction of Time Series Empowered with a Novel SREKRLS Algorithm

For the unforced dynamical non-linear statespace model, a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is developed in this article. The proposed algorithm lends itself towards the parallel implementation as in the FPGA systems. With the help of an ort...

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Vydáno v:	Computers, materials & continua Ročník 67; číslo 2; s. 1413 - 1427
Hlavní autoři:	Shoaib, Bilal, Javed, Yasir, Adnan Khan, Muhammad, Ahmad, Fahad, Majeed, Rizwan, Saqib Nawaz, Muhammad, Adeel Ashraf, Muhammad, Iqbal, Abid, Idrees, Muhammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Henderson Tech Science Press 2021
Témata:	Algorithms Integrated circuits Kernels Learning curves Least squares Mathematical analysis Matrices (mathematics) Noise levels Symmetry Systolic arrays Time series Very large scale integration
ISSN:	1546-2226, 1546-2218, 1546-2226
On-line přístup:	Získat plný text
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