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Process Identification through modular neural networks and rule extraction

vanderZwaag, B J; Slump, C H and Spaanenburg, Lambert LU (2002) 5th International Conference on Computational Intelligent Systems for Applied Research (FLINS) In Proceedings FLINS 2002 p.268-277
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
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Neural Networks, Modularity, Functional Base, Process Model, Rule Extraction
in
Proceedings FLINS 2002
pages
268 - 277
conference name
5th International Conference on Computational Intelligent Systems for Applied Research (FLINS)
language
English
LU publication?
no
id
a7fb62ac-a8cf-4f96-a6c8-ccfc0c1da9fc (old id 603905)
date added to LUP
2007-12-03 11:36:16
date last changed
2016-08-16 15:19:48
@misc{a7fb62ac-a8cf-4f96-a6c8-ccfc0c1da9fc,
  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},
  author       = {vanderZwaag, B J and Slump, C H and Spaanenburg, Lambert},
  keyword      = {Neural Networks,Modularity,Functional Base,Process Model,Rule Extraction},
  language     = {eng},
  pages        = {268--277},
  series       = {Proceedings FLINS 2002},
  title        = {Process Identification through modular neural networks and rule extraction},
  year         = {2002},
}