## Kernel methods in system identification, machine learning and function estimation: A survey

- Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung
- Automatica
- 2014

Highly Influential

@article{Zeng2018ARS, title={A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model}, author={Xiaoyong Zeng and Hui Peng and Feng Zhou}, journal={IEEE Transactions on Neural Networks and Learning Systems}, year={2018}, volume={29}, pages={779-791} }

- Published 2018 in IEEE Transactions on Neural Networks and Learning…
DOI:10.1109/TNNLS.2016.2641475

Recently, the radial basis function (RBF) network-style coefficients AutoRegressive (with exogenous inputs) [RBF-AR(X)] model identified by the structured nonlinear parameter optimization method (SNPOM) has attracted considerable interest because of its significant performance in nonlinear system modeling. However, this promising technique may occasionally… CONTINUE READING