Process Identification through modular neural networks and rule extraction
(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:
https://lup.lub.lu.se/record/603901
- author
- vanderZwaag, B J ; Slump, C H and Spaanenburg, Lambert LU
- publishing date
- 2002
- 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
- 2018-11-21 20:50:34
@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}}, }