M. Negnevitsky and L. Reznik (Australia)
Neuro-Fuzzy System, Pattern Recognition, Learning Vector Quantization, Fuzzy Associative Memory, Power System.
The paper presents two applications of a neuro
fuzzy system for solving complex problems in power
engineering, the recognition of power quality disturbances
and the stability of power generation. The neuro-fuzzy
system combines the powerful capability of Learning
Vector Quantization networks in pattern recognition with
the flexibility of the Fuzzy Associative Memory rule
matrix in dealing with uncertainties. The paper also
describes results of the system evaluation, which
demonstrate the high performance of the system.