Least squares support vector regression for differential equations on unbounded domains
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Publication:2162261
DOI10.1016/j.chaos.2021.111232zbMath1498.34038OpenAlexW3193333400WikidataQ115359111 ScholiaQ115359111MaRDI QIDQ2162261
Publication date: 5 August 2022
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2021.111232
unbounded domainfractional differential equationsleast squares support vector regressionHermite kernelcollocation LS-SVRGalerkin LS-SVR
Linear inference, regression (62J99) Spectral, collocation and related methods for boundary value problems involving PDEs (65N35) Fractional ordinary differential equations (34A08)
Related Items (2)
New form of Laguerre fractional differential equation and applications ⋮ Bernoulli wavelet least squares support vector regression: Robust numerical method for systems of fractional differential equations
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