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Adaptive Learning Methods for Nonlinear System Modeling
Author Jose C. Principe , Danilo Comminiello
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinea....
Release Date 2018/06 -
System Parameter Identification
Author Jose C. Principe , Jinchun Hu , Yu Zhu , Badong Chen
Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a syst....
Release Date 2013/07