Robust growing neural gas algorithm with application in cluster analysis

AK Qin, PN Suganthan - Neural networks, 2004 - Elsevier
We propose a novel robust clustering algorithm within the Growing Neural Gas (GNG)
framework, called Robust Growing Neural Gas (RGNG) network. By incorporating several …

Enhanced neural gas network for prototype-based clustering

AK Qin, PN Suganthan - Pattern recognition, 2005 - Elsevier
In practical cluster analysis tasks, an efficient clustering algorithm should be less sensitive to
parameter configurations and tolerate the existence of outliers. Based on the neural gas …

Locally weighted interpolating growing neural gas

F Flentge - IEEE transactions on neural networks, 2006 - ieeexplore.ieee.org
In this paper, we propose a new approach to function approximation based on a growing
neural gas (GNG), a self-organizing map (SOM) which is able to adapt to the local …

[PDF][PDF] Aktionenlernen mit selbstorganisierenden Karten und Reinforcement-Learning

F Flentge - 2005 - fileserver.tk.informatik.tu-darmstadt …
Aktionenlernen mit Selbstorganisierenden Karten und Reinforcement Learning Page 1
AKTIONENLERNEN MIT SELBSTORGANISIERENDEN KARTEN UND REINFORCEMENT …

Neurocontroller for Robot arms based on biologically inspired visuomotor coordination neural models

E Guglielmelli, G Asuni, F Leoni… - Handbook of neural …, 2007 - books.google.com
Children from a very early age attempt to reach objects which capture their attention. It can
be observed how, by making endogenous movements and correlating the resulting arm and …

Das Davanzati-Grabmal in S. Trinita zu Florenz

E Oy-Marra - Mitteilungen des Kunsthistorischen Institutes in Florenz, 1992 - JSTOR
Das Grabmal des Giuliano Davanzati befindet sich in der Familienkapelle der Davanzati im
s? dlichen Langhaus der Florentiner Kirche S. Trinita. 1 In einer hohen Rundbogennische …

Performance Assessment of Unsupervised Clustering Algorithms Combined MDL Index

HK Aljobouri, HA Jaber, I Çankaya - Recent Applications in Data …, 2018 - books.google.com
Best clustering analysis should be resisting the presence of outliers and be less sensitive to
initialization as well as the input sequence ordering. This chapter compares the performance …

Controles baseados em mapas auto-organizáveis para sistemas não-lineares variantes no tempo

PHM FERREIRA - 2020 - bdtd.ibict.br
Em vários sistemas de controles reais, é exigido que o controlador atenda a requisitos
complexos. Em particular, há uma demanda de estratégias de controle capazes de operar …

Clustering functional mri data using a robust unsupervised learning algorithm

HKW Al-Jobouri - 2017 - acikbilim.yok.gov.tr
Functional Magnetic Resonance Imaging (fMRI) has provided neuroscientists with a
powerful tool to examine brain activity by calculating the levels of oxygen in the blood and …

[PDF][PDF] MULTIMODAL BEHAVIOURAL ASSESSMENT IN REHABILITATION

LG Villanueva - 2014 - Citeseer
4.1 Subject characteristics......................... 89 4.2 Forearms poses for the output CP y F and
related variables...... 120 4.3 Back waist poses for the output CP y B and related variables …