Regularized System Identification

Editora:

Springer Nature B.V.

Código:

491_9783030958626

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Características

Chapter 1. Bias.- Chapter 2. Classical System Identification.- Chapter 3. Regularization of Linear Regression Models.- Chapter 4. Bayesian Interpretation of Regularization.- Chapter 5. Regularization for Linear System Identification.- Chapter 6. Regularization in Reproducing Kernel Hilbert Spaces.- Chapter 7. Regularization in Reproducing Kernel Hilbert Spaces for Linear System Identification.- Chapter 8. Regularization for Nonlinear System Identification.- Chapter 9. Numerical Experiments and Real-World Cases.

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