Statistical Learning for Systems Modeling

By Okba Taouali

The work presented in this report falls within the framework of Machine Learning where we seek to model a non-linear system and to identify online the parameters of the model considered. This model is developed in a reproducing kernel Hilbert space (RKHS). These so-called representation or black box models are linear with respect to their parameters. They have had great success in identifying nonlinear systems using kernel methods.

• Format: Paperback
• Language: English
• ISBN: 6206575675
• ISBN13: 9786206575672
• Release Date: October 2023
• Publisher: Our Knowledge Publishing
• Length: 128 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"