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Abstract: Neural Networks (NN) and Fuzzy Logic (FL) systems are often considered as separate fields, apart from the classic linear domain. Both modeling methods are closely related to the Artificial Intelligence domain and as such are sometimes considered as special modeling schemes that come with inherited human behaviour. A correct placement of FL and NN within the System Identification (SI) theory however, can only be for the best of all three domains. This paper situates both NN and FL modeling... (Update)
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BibTeX entry: (Update)
@misc{ gorp-scheme,
author = "Jürgen van Gorp and et al.",
title = "A Scheme for Nonlinear Modeling",
url = "citeseer.ist.psu.edu/vangorp99scheme.html" }
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Documents on the same site (http://elecftp.vub.ac.be/Papers/Jurgen.Van.Gorp.html): More
Situating Neural Net and Fuzzy Logic Modelling in a Uniform.. - van Gorp, al. (Correct)
An Interpolation Technique for Learning With Sparse Data - van Gorp, Rolain (1999) (Correct)
Towards Fuzzy Control Of A Flexible Manipulator - Van Gorp (Correct)
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