… a hierarchical self-organizing neural model, which learns a tree of GNGs, in the same way
that the GHSOM is a hierarchical … based on hierarchical growing neural gas for informationally …

… hierarchical classification schemes. TreeGNG is an extension to the Growing Neural Gas …
provides the novel ability to influence the general shape and form of the learned hierarchy. …

… Next, we propose a method of hierarchical neural network based on Growing neural gas to
construct a 3D environmental relation. Finally, we show experimental results of the proposed …

… hierarchical … hierarchical architecture based on growing neural gas (GNG) [8]. The GNG is
an unsupervised incremental clustering algorithm extended from the SOM and the neural gas (…

… We propose to use the Growing Neural Gas [1] algorithm, because of its good … HC hierarchical
classifier architecture, together with it’s enhancement by the use of a Growing Neural Gas (…

… This paper describes a hierarchical overlapped architecture (HOGNG) based upon the
growing neural gas (GNG) network [7] to perform this task. The proposed architecture combines …

… neural gas (GNG) are well known as unsupervised … use growing neural gas in order to
cluster the 3D environmental space. Furthermore, we propose hierarchical growing neural gas (…

… Hierarchical topological structure learning methods are expected to be developed in the …
-less hierarchical topological structure learning method based on growing neural gas (GNG). …

… In this research, new modeling strategy based hierarchical growing neural gas network (…
Secondly, the HGNG-based classifier was designed for evaluating the IDS by using a hierarchy …

… hierarchical, partitional, density based, and artificial Neural … Most hierarchical
clusteringalgorithms are variants of the … gram produced by a hierarchical technique. Partional …