BISC Seminar Announcement, November 18th, 4-5pm, 310 Soda

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Fri, 12 Nov 1999 02:39:36 +0100 (MET)

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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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Fuzzy Rule Extraction using Artificial Neural Networks

Speaker :

Jose M. Benitez
Dept. Computer Science and Artificial Intelligence
University of Granada, Spain
E-mail: jmbs@decsai.ugr.es

Date: Monday, November 18th, 1999
Time: 4-5pm
Location : 310 Soda Hall

Abstract

The problem of system identification is approached through Fuzzy
Rule-Based Systems (FRBSs). The construction of the rule base is one
of the main problems to address toward their design. Artificial Neural
Networks (ANNs) are used as a main tool for this task. The
construction of FRBSs is considered from two different perspectives:
descriptive and approximative. One of the main design objectives is to
obtain fuzzy systems with a small number of rules. Three methods for
fuzzy rule extraction are proposed. The Selection method starts out of
a fixed set of linguistic labels resulting in descriptive FRBSs. The
Constructive method is proposed to develop approximative FRBSs. The
method proceeds in three consecutive stages: feature selection,
clustering and tuning of labels. Finally, the study of the
relationship between FRBSs and ANNs leads to a constructive theorem
which establishes the equality of Multilayered Perceptrons and a
certain class of Fuzzy Additive Systems. The theorem provides a set of
rules which are then decomposed into other easier to understand. This
leads to the development of a new operator, called interactive-or,
which has interesting properties, and allows to offer an
interpretation of ANNs.

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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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