This paper introduces a neural architecture (HART for “Hierarchical ART”) that is capable of learning hierarchical clusterings of arbitrary input sequences.

Adaptive Resonance Theory (ART) network modules where each layer learns to cluster the prororypes developed at the layer directly below it.

This paper introduces a neural architecture (HART for ``Hierarchical ART'') that is capable of learning hierarchical clusterings of arbitrary input ...

A generic modular neural network architecture built up of Adaptive Resonance Theory (ART) networks that has a more powerful knowledge representation than ...

Abstract: This paper introduces a modular neuro-fuzzy architecture (FUZZY HART-S) that is capable of incremental learning of stable hierarchical clusterings ...

An ART-based modular architecture for learning hierarchical clusterings. G Bartfai. Neurocomputing 13 (1), 31-45, 1996. 67, 1996 ; A digital multiprocessor ...

Apr 25, 2024 · An ART-based modular architecture for learning hierarchical clusterings. Neurocomputing 13(1): 31-45 (1996). [j1]. view. electronic edition via ...

This chapter introduces HART-S, a modular neural network that can incrementally learn stable hierarchical clusterings of arbitrary sequences of input ...

This chapter introduces HART-S, a modular neural network that can incrementally learn stable hierarchical clusterings of arbitrary sequences of input�...

This paper introduces a modular neuro-fuzzy archi- tecture (FUZZY HART-S) that is capable of incremental learning of stable hierarchical clusterings of ...