Solving higher order nonlinear ordinary differential equations with least squares support vector machines

DOI10.3934/jimo.2019012zbMath1463.65211OpenAlexW2922190226WikidataQ128153123 ScholiaQ128153123MaRDI QIDQ2190280

Muzhou Hou, Yunlei Yang, Hongyi Li, Hongli Sun, Qingfei Yin, Yanfei Lu

Publication date: 18 June 2020

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2019012

zbMATH Keywords

approximate solutionsboundary value problemsinitial value problemsnonlinear ordinary differential equationsleast squares support vector machines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear boundary value problems for ordinary differential equations (34B15) Initial value problems, existence, uniqueness, continuous dependence and continuation of solutions to ordinary differential equations (34A12) Numerical methods for ordinary differential equations (65L99)

Related Items (2)

Bernoulli wavelet least squares support vector regression: Robust numerical method for systems of fractional differential equations ⋮ Chelyshkov least squares support vector regression for nonlinear stochastic differential equations by variable fractional Brownian motion

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