Ulrich Bodenhofer, Edwin Lughofer,
"Incremental Learning of Fuzzy Basis Function Networks with a Modified Version of Vector Quantization"
: Proceedings of IPMU 2006, Vol. 1, Seite(n) 56-63, 2006
Original Titel:
Incremental Learning of Fuzzy Basis Function Networks with a Modified Version of Vector Quantization
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of IPMU 2006
Original Kurzfassung:
In this paper, an algorithm for data-driven incremental learning of
fuzzy basis function networks is presented. A modified version of vector quantization
is exploited for rule evolution and incremental learning of the
rules' antecedent parts.
Antecedent learning
is connected in a stable manner with a recursive learning of rule
consequent functions with linear parameters.
The paper is concluded with an evaluation of the proposed algorithm on high-dimensional
measurement data for engine test benches.
Forschungs-