Parameter selection method for support vector regression based on adaptive fusion of the mixed kernel function
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Publication:1794163
DOI10.1155/2017/3614790zbMath1400.93305OpenAlexW2766177754MaRDI QIDQ1794163
Publication date: 15 October 2018
Published in: Journal of Control Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/3614790
nonlinear systemstate estimationKalman filtersupport vector regressionadaptive fusionmixed kernel function
Filtering in stochastic control theory (93E11) Learning and adaptive systems in artificial intelligence (68T05) Estimation and detection in stochastic control theory (93E10)
Uses Software
Cites Work
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- Bayesian Support Vector Regression With Automatic Relevance Determination Kernel for Modeling of Antenna Input Characteristics
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