Time series prediction with the self-organizing map: A review
GA Barreto - Perspectives of neural-symbolic integration, 2007 - Springer
We provide a comprehensive and updated survey on applications of Kohonen's self-
organizing map (SOM) to time series prediction (TSP). The main goal of the paper is to show …
organizing map (SOM) to time series prediction (TSP). The main goal of the paper is to show …
Application of artificial neural networks in the diagnosis of urological dysfunctions
In this article, we evaluate the work out of some artificial neural network models as tools for
support in the medical diagnosis of urological dysfunctions. We develop two types of …
support in the medical diagnosis of urological dysfunctions. We develop two types of …
Soft object deformation monitoring and learning for model-based robotic hand manipulation
AM Cretu, P Payeur, EM Petriu - IEEE Transactions on Systems …, 2011 - ieeexplore.ieee.org
This paper discusses the design and implementation of a framework that automatically
extracts and monitors the shape deformations of soft objects from a video sequence and …
extracts and monitors the shape deformations of soft objects from a video sequence and …
[BOOK][B] Computational intelligence systems and applications: neuro-fuzzy and fuzzy neural synergisms
MB Gorzalczany - 2012 - books.google.com
Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main
paradigm. Symbolic AI systems have proved effective in handling problems characterized by …
paradigm. Symbolic AI systems have proved effective in handling problems characterized by …
[BOOK][B] Bio-inspired computing machines: Towards novel computational architectures
D Mange, M Tomassini - 1998 - books.google.com
Ever since his days as a cave-dweller, Man has been awe-stricken by the workings of
Nature. The rise of modern science over the past few centuries, continuously striving to …
Nature. The rise of modern science over the past few centuries, continuously striving to …
Local adaptive receptive field self-organizing map for image color segmentation
ARF Araújo, DC Costa - Image and Vision Computing, 2009 - Elsevier
A new self-organizing map with variable topology is introduced for image segmentation. The
proposed network, called a Local Adaptive Receptive Field Self-organizing Map …
proposed network, called a Local Adaptive Receptive Field Self-organizing Map …
Fast vision-based catheter 3D reconstruction
MM Dalvand, S Nahavandi… - Physics in Medicine & …, 2016 - iopscience.iop.org
Continuum robots offer better maneuverability and inherent compliance and are well-suited
for surgical applications as catheters, where gentle interaction with the environment is …
for surgical applications as catheters, where gentle interaction with the environment is …
Self-organizing maps with a time-varying structure
AFR Araujo, RLME Rego - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
A number of research studies considering a self-organizing map have been developed
since such a map was proposed by Kohonen [1982]. Some of these studies concern SOM …
since such a map was proposed by Kohonen [1982]. Some of these studies concern SOM …
Growing self-reconstruction maps
RLME Rego, AFR Araújo… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
In this paper, we propose a new method for surface reconstruction based on growing self-
organizing maps (SOMs), called growing self-reconstruction maps (GSRMs). GSRM is an …
organizing maps (SOMs), called growing self-reconstruction maps (GSRMs). GSRM is an …
Growing self-organizing maps for surface reconstruction from unstructured point clouds
RLME do Rego, AFR Araujo… - … Joint Conference on …, 2007 - ieeexplore.ieee.org
This work introduces a new method for surface reconstruction based on Growing Self-
organizing Maps, which learn 3D coordinates of each vertex in a mesh as well as they learn …
organizing Maps, which learn 3D coordinates of each vertex in a mesh as well as they learn …