An adaptive hybrid neural network approach for learning nonstationary manufacturing processes /

An adaptive hybrid learning procedure is proposed for change detection and on-line identification of nonstationary manufacturing processes. Sequential measurements in manufacturing systems and on-line measured signals in speech recognition systems can be well described by nonstationary models (e.g....

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Bibliographic Details

Main Author:	Wang, Gi-nam, 1958-
Other Authors:	Colunga, Daniel (degree committee member.), Foster, Joseph W. (degree committee member.), Pignatiello, Joseph J. (degree committee member.)
Format:	Thesis Book
Language:	English
Published:	1993.
Subjects:	Neural networks (Computer science) Adaptive control systems. System identification. Manufacturing processes > Data processing. Major industrial engineering. Academic theses
Online Access:	ProQuest, Abstract Link to OAKTrust copy