BISC Seminar Announcement, Friday July 2nd, 3-4pm, 310 Soda

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Sun, 27 Jun 1999 21:59:11 +0200 (MET DST)

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Berkeley Initiative in Soft Computing (BISC)
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B I S C S e m i n a r A n n o u n c e m e n t
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Recent Advances in the Neuro-Fuzzy Approach NEFCLASS


Speaker :
Detlef Nauck
Otto-von-Guericke University of Magdeburg, Germany
Email: Detlef.Nauck@cs.uni-magdeburg.de
URL: fuzzy.cs.uni-magdeburg.de/~nauck

Date: Friday, July 2nd, 1999
Time: 3-4pm
Location : 310 Soda Hall

!!!!!!!!!!! Notice date and time differ from usual schedule !!!!!!!!!!!!!!!!!!!

Abstract

Neuro-fuzzy approaches combine fuzzy systems with learning methods from
artifical neural networks to create fuzzy rule bases from data. There
are several neuro-fuzzy approaches to learning fuzzy rules and to tune
membership functions. However, many approach are based on numeric training
data and cannot handle missing values during learning.
In addition the need for an interpretable solution is often neglected and
the performance of the obtained model is the only criteria to evaluate a
learning outcome.

Our neuro-fuzzy model NEFCLASS is able to learn fuzzy rules and fuzzy sets
by simple heuristics. The aim of NEFCLASS is to quickly create
interpretable fuzzy classifiers. In this talk we present recent advances
in the NEFCLASS approach:
- learning from data with symbolic and numeric attributes,
- treatment of missing values and
- automatic pruning strategies to improve the interpretability
of the learning outcome.

We illustrate the learning algorithms by using our new software tool
NEFCLASS-J that was written in JAVA and is freely available via the
Internet.

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Please direct questions with regard to the contents of the talk
and request for papers to the speaker.
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Frank Hoffmann                               UC Berkeley
Computer Science Division                    Department of EECS
Email: fhoffman@cs.berkeley.edu              phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman   fax:  1-510-642-5775
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