Stochastic configuration networks for multi-dimensional integral evaluation
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Publication:6150454
DOI10.1016/j.ins.2022.04.005OpenAlexW4226425811WikidataQ114167362 ScholiaQ114167362MaRDI QIDQ6150454
Dianhui Wang, Shangjie Li, Xianzhen Huang
Publication date: 6 March 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2022.04.005
multi-dimensional integralsstochastic configuration networksrandomized learningsignal representative
Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical quadrature and cubature formulas (65D32)
Cites Work
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- Approximation with random bases: pro et contra
- Romberg integration for fuzzy functions
- Dual Neural Network Method for Solving Multiple Definite Integrals
- Generalized Gaussian Quadrature Rules for Systems of Arbitrary Functions
- Learning representations by back-propagating errors
- High-dimensional integration: The quasi-Monte Carlo way
- A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics
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