In this paper we present analysis and solutions to problems related to initial positioning of
neurons in a classic self-organizing map (SOM) neural network. This means that we are not …

In this research, we develop a method integrating a growing self-organizing map and
differential learning system for online reinforcement learning which adaptively builds the …

Recent technological advancements have fostered human–robot coexistence in work and
residential environments. The assistive robot must exhibit humane behavior and consistent …

The pervasiveness of computers in everyday life has already increased and keeps
increasing the available digital data both in volume and variety/disparity. This large and …

Depuis son introduction en 1982, la carte auto-organisatrice de Kohonen (Self-Organizing
Map: SOM) a prouvé ses capacités de classification et visualisation des données …

Real-time color quantization requires high performances and high configurability. Self-
organizing maps (SOMs) are very suited as color quantizers. However, widely used software …

Abstract For Human–Machine Interaction systems, it is a convenient method to send user׳ s
instructions to robots, TV sets, and other electronic equipments by showing different shapes …

In this work, a scalable and adaptable hardware SOM architecture allowing to execute
multiple applications in parallel is presented. The proposed architecture allows to use …

Real-time vector quantization requires high performances and high configurability.
Unsupervised neural networks such as Self-organizing maps (SOMs) have been commonly …

This paper proposes a voice command learning system for partner robots acquiring
communication ability with instructors. Parameter-less Growing Self-Organizing Map (PL-G …