Machine Learning Techniques for Large-Scale System Modeling

Machine Learning Techniques for Large-Scale System Modeling

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This thesis is about some issues in system modeling: The first is a parsimonious representation of MISO Hammerstein system, which is by projecting the multivariate linear function into a univariate input function space. This leads to the so-called semiparamtric Hammerstein model, which overcomes...

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Bibliographic Details
Main Author: Lv, Jiaqing
Other Authors: Pawlak, Miroslaw (Electrical & Computer Engineering)
Published: 2011
Subjects:
nonparametric estimation
semiparametric
MISO Hammerstein model
curse of dimensionality
model selection
Lasso
transient stability boundary
machine learning
Online Access:http://hdl.handle.net/1993/4808

Internet

http://hdl.handle.net/1993/4808

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