FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2885681926> ?p ?o ?g. }

• W2885681926 abstract "In the last decade, a considerable research effort has been devoted to developing adaptive algorithms based on kernel functions. One of the main features of these algorithms is that they form a family of universal approximation techniques, solving problems with nonlinearities elegantly. In this paper, we present data-selective adaptive kernel normalized least-mean square (KNLMS) algorithms that can increase their learning rate and reduce their computational complexity. In fact, these methods deal with kernel expansions, creating a growing structure also known as the dictionary, whose size depends on the number of observations and their innovation. The algorithms described herein use an adaptive step-size to accelerate the learning and can offer an excellent tradeoff between convergence speed and steady state, which allows them to solve nonlinear filtering and estimation problems with a large number of parameters without requiring a large computational cost. The data-selective update scheme also limits the number of operations performed and the size of the dictionary created by the kernel expansion, saving computational resources and dealing with one of the major problems of kernel adaptive algorithms. A statistical analysis is carried out along with a computational complexity analysis of the proposed algorithms. Simulations show that the proposed KNLMS algorithms outperform existing algorithms in examples of nonlinear system identification and prediction of a time series originating from a nonlinear difference equation." @default.
• W2885681926 created "2018-08-22" @default.
• W2885681926 creator A5049028312 @default.
• W2885681926 creator A5060321238 @default.
• W2885681926 date "2018-08-15" @default.
• W2885681926 modified "2023-09-27" @default.
• W2885681926 title "Study of Set-Membership Adaptive Kernel Algorithms." @default.
• W2885681926 cites W1540155273 @default.
• W2885681926 cites W1569723620 @default.
• W2885681926 cites W1819447595 @default.
• W2885681926 cites W1939325961 @default.
• W2885681926 cites W1966440305 @default.
• W2885681926 cites W1969489987 @default.
• W2885681926 cites W1973914465 @default.
• W2885681926 cites W1993067233 @default.
• W2885681926 cites W1994090469 @default.
• W2885681926 cites W1996038080 @default.
• W2885681926 cites W1997337863 @default.
• W2885681926 cites W1997382463 @default.
• W2885681926 cites W2003563417 @default.
• W2885681926 cites W2005588828 @default.
• W2885681926 cites W2016717493 @default.
• W2885681926 cites W2019013468 @default.
• W2885681926 cites W2019820852 @default.
• W2885681926 cites W2022669094 @default.
• W2885681926 cites W2024521163 @default.
• W2885681926 cites W2029369497 @default.
• W2885681926 cites W2035275496 @default.
• W2885681926 cites W2035367180 @default.
• W2885681926 cites W2038977320 @default.
• W2885681926 cites W2042262246 @default.
• W2885681926 cites W2042466642 @default.
• W2885681926 cites W2061938142 @default.
• W2885681926 cites W2069819725 @default.
• W2885681926 cites W2070209186 @default.
• W2885681926 cites W2104817886 @default.
• W2885681926 cites W2106527613 @default.
• W2885681926 cites W2107885148 @default.
• W2885681926 cites W2108397312 @default.
• W2885681926 cites W2108995755 @default.
• W2885681926 cites W2109589692 @default.
• W2885681926 cites W2111052925 @default.
• W2885681926 cites W2111395440 @default.
• W2885681926 cites W2114865067 @default.
• W2885681926 cites W2116059849 @default.
• W2885681926 cites W2116778898 @default.
• W2885681926 cites W2122021878 @default.
• W2885681926 cites W2124336783 @default.
• W2885681926 cites W2126709692 @default.
• W2885681926 cites W2127562763 @default.
• W2885681926 cites W2138484437 @default.
• W2885681926 cites W2139320579 @default.
• W2885681926 cites W2139578107 @default.
• W2885681926 cites W2140161204 @default.
• W2885681926 cites W2142937021 @default.
• W2885681926 cites W2147507815 @default.
• W2885681926 cites W2150305894 @default.
• W2885681926 cites W2153290280 @default.
• W2885681926 cites W2160444861 @default.
• W2885681926 cites W2169169001 @default.
• W2885681926 cites W2169893083 @default.
• W2885681926 cites W2170800460 @default.
• W2885681926 cites W2171543556 @default.
• W2885681926 cites W2183811069 @default.
• W2885681926 cites W2290137768 @default.
• W2885681926 cites W2305569075 @default.
• W2885681926 cites W2307681928 @default.
• W2885681926 cites W2413693026 @default.
• W2885681926 cites W2593082056 @default.
• W2885681926 cites W2610805269 @default.
• W2885681926 cites W2617018367 @default.
• W2885681926 cites W3098943005 @default.
• W2885681926 cites W3104682973 @default.
• W2885681926 hasPublicationYear "2018" @default.
• W2885681926 type Work @default.
• W2885681926 sameAs 2885681926 @default.
• W2885681926 citedByCount "0" @default.
• W2885681926 crossrefType "posted-content" @default.
• W2885681926 hasAuthorship W2885681926A5049028312 @default.
• W2885681926 hasAuthorship W2885681926A5060321238 @default.
• W2885681926 hasConcept C102248274 @default.
• W2885681926 hasConcept C11413529 @default.
• W2885681926 hasConcept C114614502 @default.
• W2885681926 hasConcept C119857082 @default.
• W2885681926 hasConcept C121332964 @default.
• W2885681926 hasConcept C122280245 @default.
• W2885681926 hasConcept C12267149 @default.
• W2885681926 hasConcept C126255220 @default.
• W2885681926 hasConcept C158622935 @default.
• W2885681926 hasConcept C162324750 @default.
• W2885681926 hasConcept C177264268 @default.
• W2885681926 hasConcept C179799912 @default.
• W2885681926 hasConcept C195699287 @default.
• W2885681926 hasConcept C199360897 @default.
• W2885681926 hasConcept C26517878 @default.
• W2885681926 hasConcept C2777303404 @default.
• W2885681926 hasConcept C33923547 @default.
• W2885681926 hasConcept C38652104 @default.
• W2885681926 hasConcept C41008148 @default.
• W2885681926 hasConcept C50522688 @default.

• next