Title :
Neural modeling with automatic structure selection
Author :
Li, XiaoOu ; Yu, Wen
Author_Institution :
Dept. de Comput., CINVESTAV-IPN, Mexico City, Mexico
Abstract :
This paper focuses on both the structure uncertainty and parameter uncertainty which have been widely explored in the literature of nonlinear system identification. An integrated analytic framework is proposed for automated neural network structure selection, parameter identification and hysteresis network switching with guaranteed neural identification performance.
Keywords :
identification; neural nets; uncertain systems; automated neural network structure selection; hysteresis network switching; neural modeling; nonlinear system identification; parameter identification; parameter uncertainty; structure uncertainty; Adaptation model; Artificial neural networks; Heuristic algorithms; Hysteresis; Nonlinear dynamical systems; Switches; Training; modeling; neural networks; structure;
Conference_Titel :
Information Reuse and Integration (IRI), 2010 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8097-5
DOI :
10.1109/IRI.2010.5558918
