In this paper, we describe an algorithm FARDiff (Fuzzy Adaptive Resonance Diffusion)
which combines Diffusion Maps and Fuzzy Adaptive Resonance Theory to do clustering on …

Sažetak The main concept of the presented research is an autonomous robot learning
model for which a novel ARTgrid neural network architecture for the classification of spatial …

Validation is one of the most important aspects of clustering, but most approaches have
been batch methods. Recently, interest has grown in providing incremental alternatives. This …

Abstract The Fuzzy Adaptive Resonance Theory is an unsupervised clustering algorithm that
solves stability plasticity dilemma. The existing winner-take-all approach to updating weights …

We report on the moving hand gesture recognition technique using Adaptive Resonance
Theory (ART). To detect the start and end points of a continuous moving gesture (known as …

The paper presents a method of parallel-hierarchical transformations for rapid recognition of
dynamic images using GPU technology. Direct parallel-hierarchical transformations based …

The article is devoted to the study of ART classifiers representing a computational model
based on the principles of Adaptive Resonance Theory. The basic architecture according to …

Principles necessary to develop a method and computational facilities for the parallel
hierarchical transformation based on high-performance GPUs are discussed in the paper …

Cluster analysis can be broadly divided into multivariate data visualization, clustering
algorithms, and cluster validation. This dissertation contributes neural network-based …

Trois expérimentations ont été étudiées: la détection d'usurpation d'identité, le profilage de
comportement de blanchiment d'argent et enfin la prédiction de toute forme d'activité …