• Publications
  • Influence
Identification and control of dynamical systems using the self-organizing map
  • G. Barreto, A. Araújo
  • Medicine, Computer Science
  • IEEE Transactions on Neural Networks
  • 1 September 2004
TLDR
We introduce a general modeling technique, called vector-quantized temporal associative memory (VQTAM), which uses Kohonen's self-organizing map (SOM) as an alternative to multilayer perceptron (MLP) and radial basis function (RBF) neural models for dynamical system identification and control. Expand
  • 127
  • 6
Growing Self-Reconstruction Maps
TLDR
In this paper, we propose a new method for surface reconstruction based on growing self-organizing maps (SOMs) that includes the concept of triangular faces in the learning algorithm. Expand
  • 32
  • 6
Local adaptive receptive field self-organizing map for image color segmentation
TLDR
A new self-organizing map with variable topology is introduced for image segmentation, which is capable of color segmenting images satisfactorily. Expand
  • 45
  • 5
Adaptive Genetic Algorithms for Dynamic Channel Assignment in Mobile Cellular Communication Systems
TLDR
Two adaptive genetic algorithms (GAs), namely GA for locking channel (GALC) and GA for switching channel ( GASC), are proposed for a dynamic channel assignment in mobile cellular communication systems. Expand
  • 41
  • 3
Study of different approach to clustering data by using the Particle Swarm Optimization Algorithm
TLDR
This paper proposes two new data clustering approaches using the particle swarm optimization algorithm (PSO) using different fitness functions and considering the situation where data is uniformly distributed. Expand
  • 49
  • 3
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case
TLDR
Spatiotemporal connectionist networks (STCNs) comprise an important class of neural models that can deal with patterns distributed in both time and space. Expand
  • 71
  • 2
Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators
TLDR
This paper presents a review of self-organizing feature maps (SOFMs), in particular, those based on the Kohonen algorithm, applied to adaptive modeling and control of robotic manipulators. Expand
  • 59
  • 2
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Context in temporal sequence processing: a self-organizing approach and its application to robotics
TLDR
A self-organizing neural net for learning and recall of complex temporal sequences is developed and applied to robot trajectory planning. Expand
  • 33
  • 2
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A Novel Topological Map of Place Cells for Autonomous Robots
TLDR
This paper presents a novel Topological Map of Place Cells model for autonomous robots. Expand
  • 3
  • 2
Generalized immigration schemes for dynamic evolutionary multiobjective optimization
TLDR
The insertion of atypical solutions (immigrants) in Evolutionary Algorithms populations is a well studied and successful strategy to cope with the difficulties of tracking optima in dynamic environments in single-objective optimization. Expand
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