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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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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