A kernel least mean square algorithm for fuzzy differential equations and its application in earth’s energy balance model and climate

This paper concentrates on solving fuzzy dynamical differential equations (FDDEs) by use of unsupervised kernel least mean square (UKLMS). UKLMS is a nonlinear adaptive filter which works by applying kernel trick to LMS adaptive filter. UKLMS estimates multivariate function which is embedded to esti...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	M. Pakdaman, Y. Falamarzi, H. Sadoghi Yazdi, A. Ahmadian, S. Salahshour, F. Ferrara
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2020-08-01
Sarja:	Alexandria Engineering Journal
Aiheet:	Least mean square Kernel space Fuzzy dynamical differential equation Energy balance model BFGS optimization algorithm
Linkit:	http://www.sciencedirect.com/science/article/pii/S1110016820302799
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