Intellektik: Technical report 95-02
A Hybrid Fuzzy-Neural Expert System for Diagnosis
Christoph S. Herrmann
Fuzzy Logic, a neural network and an expert system are combine
build a hybrid diagnosis system. With this system we introduce a new
approach to the acquisition of knowledge bases.
Our system consists of a fuzzy
expert system with a dual source knowledge base. Two sets
of rules are acquired, inductively from given examples and
deductively formulated by a physician. A fuzzy neural network serves to learn
from sample data and allows to extract fuzzy rules for the knowledge
base. The diagnosis of electroencephalograms by
interpretation of graphoelements serves as visualization for our
approach. Preliminary results demonstrate the promising possibilities
offered by our method.