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Process Identification through modular neural networks and rule extraction

vanderZwaag, B J ; Slump, C H and Spaanenburg, Lambert LU (2002) Belgium/Netherlands Conference on Artificial Intelligence (BNAIC), 2002 p.507-508
Abstract
Monolithic neural networks may be trained from measured data to establish knowledge

about the process. Unfortunately, this knowledge is not guaranteed to be found

and – if at all – hard to extract. Modular neural networks are better suited for this

purpose. Domain-ordered by topology, rule extraction is performed module by module.

This has all the benefits of a divide-and-conquer method and opens the way to

structured design. This paper discusses a next step in this direction by illustrating the

potential of base functions to design the neural model.
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the Fourteenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02)
pages
507 - 508
conference name
Belgium/Netherlands Conference on Artificial Intelligence (BNAIC), 2002
conference location
Leuven, Belgium
conference dates
2002-10-21 - 2002-10-22
ISSN
1568-7805
language
English
LU publication?
no
id
b15af590-5267-4196-a3bf-0812a0694016 (old id 603901)
date added to LUP
2016-04-04 09:04:23
date last changed
2025-04-04 14:58:07
@inproceedings{b15af590-5267-4196-a3bf-0812a0694016,
  abstract     = {{Monolithic neural networks may be trained from measured data to establish knowledge<br/><br>
about the process. Unfortunately, this knowledge is not guaranteed to be found<br/><br>
and – if at all – hard to extract. Modular neural networks are better suited for this<br/><br>
purpose. Domain-ordered by topology, rule extraction is performed module by module.<br/><br>
This has all the benefits of a divide-and-conquer method and opens the way to<br/><br>
structured design. This paper discusses a next step in this direction by illustrating the<br/><br>
potential of base functions to design the neural model.}},
  author       = {{vanderZwaag, B J and Slump, C H and Spaanenburg, Lambert}},
  booktitle    = {{Proceedings of the Fourteenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02)}},
  issn         = {{1568-7805}},
  language     = {{eng}},
  pages        = {{507--508}},
  title        = {{Process Identification through modular neural networks and rule extraction}},
  year         = {{2002}},
}