Eduardo Gómez-Ramírez

Orcid: 0000-0001-8491-4114

According to our database1, Eduardo Gómez-Ramírez authored at least 27 papers between 1998 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2015
One-shot Training of Polynomial Cellular Neural Networks and applications in image processing.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm.
Appl. Soft Comput., 2014

2013
A root location training method for polynomial cellular neural networks that implements totalistic cellular automata.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Automatic implementation of totalistic cellular automata through polynomial cellular neural networks.
Proceedings of the 2013 IEEE Workshop on Hybrid Intelligent Models and Applications, 2013

2012
Complexity Index of Outer-Totalistic Binary Cellular Automata with Arbitrary Dimension and Neighborhood.
Int. J. Bifurc. Chaos, 2012

2011
Simple Tuning of Type-2 Fuzzy Controllers.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Learning in Polynomial Cellular neural networks using quadratic programming.
Proceedings of the International Joint Conference on Neural Networks, 2010

Hybrid system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and Multi Layer Perceptrons combined by a fuzzy inference system.
Proceedings of the International Joint Conference on Neural Networks, 2010

Simple Tuning Algorithm improvements for fuzzy logic controllers.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Discovering Universal Polynomial Cellular Neural Networks through Genetic Algorithms.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Computing the Weights of Polynomial Cellular Neural Networks Using Quadratic Programming.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Boltzmann Machines Reduction by High-Order Decimation.
IEEE Trans. Neural Networks, 2008

2007
Acceleration Output Prediction of Buildings Using a Polynomial Artificial Neural Network.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Simple Tuning of Fuzzy Controllers.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

ChapBoltzmann Machines Learning Using High Order Decimation.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

The Game of Life Using Polynomial Discrete Time Cellular Neural Networks.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Forecasting time series with a new architecture for polynomial artificial neural network.
Appl. Soft Comput., 2007

Polynomial Cellular Neural Networks for Implementing the Game of Life.
Proceedings of the Artificial Neural Networks, 2007

2006
Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Nonlinear Civil Structures Identification Using a Polynomial Artificial Neural Network.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Tuning of Fuzzy Controllers.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

How to tune fuzzy controllers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Learning for repeated constrained games in counter-coalition space.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

1999
Adaptive architecture of polynomial artificial neural network to forecast nonlinear time series.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Structure adaptation of stochastic neural nets using learning automata technique.
Int. J. Syst. Sci., 1998


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