We propose Add-if-Silent rule-based GNG (AiS-GNG) which can generate high-density topological structures for far-away objects by directly adding input data as a ...
In this study, we construct a 3D topological map of the environment in real-time using Growing Neural Gas (GNG), which can learn 3D topological structures even ...
This method increases the sampling of the point of interest from the features extracted by the topological structure learned so far to learn a dense ...
This paper analyzes how the size of training set affects the performance of the neocognitron and shows that the add-if-silent rule can produce ...
Add-if-Silent Rule-Based Growing Neural Gas for High-Density Topological Structure of Unknown Objects. RO-MAN 2023: 2492-2498. [c309]. view. electronic edition ...
Dec 13, 2016 · NG and GNG are a form of self-organizing maps (SOM), which are also referred to as "Kohonen neural networks". These are based on older, much wider view of ...
Conference Paper. Add-if-Silent Rule-Based Growing Neural Gas for High-Density Topological Structure of Unknown Object... August 2023. Masaya Shoji · Takenori ...
Add-if-Silent Rule-Based Growing Neural Gas for High-Density Topological Structure of Unknown Objects. M Shoji, T Obo, N Kubota. 2023 32nd IEEE International ...
Growing neural gas (GNG) has been widely used in topological mapping, clustering and unsupervised tasks. It starts from two random nodes and grows until it ...
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An incremental network model is introduced which is able to learn the important topological relations in a given set of input vectors by means of a simple Hebb ...