Adaptive learning methods for nonlinear system modeling
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Amsterdam
نام ناشر، پخش کننده و غيره
Butterworth-Heinemann
تاریخ نشرو بخش و غیره
2018
یادداشتهای مربوط به عنوان و پدیدآور
متن يادداشت
edited by Danilo Comminiello, Jose C. Principe
یادداشتهای مربوط به مندرجات
متن يادداشت
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
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
، Nonlinear systems Mathematical models
عنصر شناسه ای
، Adaptive control systems
عنصر شناسه ای
، Adaptive signal processing
رده بندی کنگره
شماره رده
HC
85
.
A33
2018
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )