Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/38977
Title: Linearisation of process models : an analysis and applications using neural networks
Authors: Fazlur Rahman M. H. R.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 1997
Abstract: The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theory. Some applications of Artificial Neural Networks to process control have been reported in the literature. The capability of ANN is that even with an inappropriate choice of input variables, ANN can be trained in such a way that many of the input variables may have little effect on the output. In such cases, the importance of knowledge of the process to be modelled cannot be overemphasised. A good understanding of the nature of the nonlinearity of process is important for proper application and exploitation of ANN for modelling and control.
URI: http://hdl.handle.net/10356/38977
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
FazlurRahmanMHR1997.pdf
  Restricted Access
Main report28.21 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.