عنوان

Adaptive learning methods for nonlinear system modeling

Standard Number

electronic

First Statement of Responsibility

Comminiello, Danilo

Title Proper

Adaptive learning methods for nonlinear system modeling

Place of Publication, Distribution, etc.

Amsterdam

Name of Publisher, Distributor, etc.

Butterworth-Heinemann

Date of Publication, Distribution, etc.

2018

Text of Note

edited by Danilo Comminiello, Jose C. Principe

Text of Note

1. Introduction PART I LINEAR-IN-THE-PARAMETERS NONLINEAR FILTERS 2. Orthogonal LIP Nonlinear Filters 3. Spline Adaptive Filters: Theory and Applications 4. Recent Advances on LIP Nonlinear Filters and Their Applications: Efficient Solutions and Significance Aware Filtering PART II ADAPTIVE ALGORITHMS IN THE REPRODUCING KERNEL HILBERT SPACE 5. Maximum Correntropy Criterion Based Kernel Adaptive Filters 6. Kernel Subspace Learning for Pattern Classification 7. A Random Fourier Features Perspective of KAFs with Application to Distributed Learning over Networks 8. Kernel-based Inference of Functions over Graphs PART III NONLINEAR MODELING WITH MULTIPLE LEARNING MACHINES 9. Online Nonlinear Modeling via Self-Organizing Trees 01. Adaptation and Learning Over Networks for Nonlinear System Modeling 11. Cooperative Filtering Architectures for Complex Nonlinear Systems PART IV NONLINEAR MODELING BY NEURAL NETWORKS 21. Echo State Networks for Multidimensional Data: Exploiting Noncircularity and Widely Linear Models 31. Identification of Short-Term and Long-Term Functional Synaptic Plasticity from Spiking Activities 41. Adaptive H Tracking Control of Nonlinear Systems using Reinforcement Learning 51. Adaptive Dynamic Programming for Optimal Control of Nonlinear Distributed Parameter Systems

Entry Element

، Nonlinear systems Mathematical models

Entry Element

، Adaptive control systems

Entry Element

، Adaptive signal processing

Class number

Relator Code

AU

AU Principe, J. C. )Jose C.( ]editor[