TY  - EDBOOK
AB  - In this paper, a novel unsupervised neural network combining elements from Adaptive Resonance Theory and topology learning neural networks, in particular the Self-Organising Incremental Neural Network, is introduced. It enables stable on-line clustering of stationary and non-stationary input data. In addition, two representations reflecting different levels of detail are learnt simultaneously. Furthermore, the network is designed in such a way that its sensitivity to noise is diminished, which renders it suitable for the application to real-world problems.
DA  - 2010
DO  - 10.1007/978-3-642-15825-4_21
KW  - hierarchical clustering
KW  - on-line learning
KW  - Adaptive Resonance Theory
KW  - topology learning
LA  - eng
PY  - 2010
SN  - 978-3-642-15824-7
TI  - TopoART: A Topology Learning Hierarchical ART Network
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-19255964
Y2  - 2024-11-22T02:20:36
ER  -