Please use this identifier to cite or link to this item:
|Title:||Neural network modelling of a dynamic process||Authors:||Wu, Youcheng.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||2001||Abstract:||This dissertation presents a dynamic modeling based on the data collected continuously on plant input and output variables using Nonlinear Auto Regression with exogenous inputs (NARX) recurrent neural network. The Levengerg-Marquardt learning algorithm was chosen to train the network, as it is faster than the other learning algorithms.||URI:||http://hdl.handle.net/10356/3784||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.