Advanced

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 In Proceedings of the Fourteenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02) 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
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
ISSN
1568-7805
language
English
LU publication?
no
id
b15af590-5267-4196-a3bf-0812a0694016 (old id 603901)
date added to LUP
2007-12-03 11:40:47
date last changed
2016-08-16 15:19:48
@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},
}