Neuro-fuzzy structures for pattern classification
Krzysztof Cpałka, Leszek Rutkowski · Annual Conference on Computers · 2005
In the paper we present a new class of neuro-fuzzy systems for pattern classification. The algorithm is based on the concept of adjustable triangular norms. Various flexibility components are incorporated into construction of neuro-fuzzy systems. A high accuracy of the algorithm is demonstrated.