#### Filter Results:

- Full text PDF available (57)

#### Publication Year

1994

2017

- This year (5)
- Last 5 years (18)
- Last 10 years (40)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Brain Region

#### Data Set Used

#### Key Phrases

#### Method

Learn More

- Jesús González, Ignacio Rojas, Julio Ortega, Héctor Pomares, Francisco Javier Fernández, Antonio F. Díaz
- IEEE Trans. Neural Networks
- 2003

This paper presents a multiobjective evolutionary algorithm to optimize radial basis function neural networks (RBFNNs) in order to approach target functions from a set of input-output pairs. The procedure allows the application of heuristics to improve the solution of the problem at hand by including some new genetic operators in the evolutionary process.… (More)

- Jesús González, Ignacio Rojas, Julio Ortega, Alberto Prieto
- IEEE Trans. Neural Networks
- 2002

To date, clustering techniques have always been oriented to solve classification and pattern recognition problems. However, some authors have applied them unchanged to construct initial models for function approximators. Nevertheless, classification and function approximation problems present quite different objectives. Therefore it is necessary to design… (More)

- Héctor Pomares, Ignacio Rojas, Jesús González, Alberto Prieto
- FUZZ-IEEE
- 2001

The identification of a model is one of the key issues in the field of fuzzy system modeling and function approximation theory. There are numerous approaches to the issue of parameter optimization within a fixed fuzzy system structure but no reliable method to obtain the optimal topology of the fuzzy system from a set of input–output data. This paper… (More)

- Jesús González, Ignacio Rojas, +4 authors Fernando Rojas Ruiz
- Int. J. Approx. Reasoning
- 2007

The identification of a model is one of the key issues in the field of fuzzy system modeling and function approximation theory. An important characteristic that distinguishes fuzzy systems from other techniques in this area is their transparency and interpretability. Especially in the construction of a fuzzy system from a set of given training examples,… (More)

- Ignacio Rojas, Jesús González, Antonio Cañas, Antonio F. Díaz, Fernando Rojas Ruiz, Manuel Rodríguez
- Int. J. Neural Syst.
- 2000

We propose a framework for constructing and training a radial basis function (RBF) neural network. The structure of the gaussian functions is modified using a pseudo-gaussian function (PG) in which two scaling parameters sigma are introduced, which eliminates the symmetry restriction and provides the neurons in the hidden layer with greater flexibility with… (More)

- Millien Max, Jesús González
- Studies in health technology and informatics
- 1997

Can Virtual Reality (VR) developments in audio navigation for blind persons support therapies for all? Working with Crystal River Engineering we are developing navigable Virtual Reality worlds for blind users, using spatialized audio [1], [2]. All persons, however, use specialized channels, such as: visual, aural, and kinetic learning senses. Predominantly… (More)

- Héctor Pomares, Ignacio Rojas, Julio Ortega, Jesús González, Alberto Prieto
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 2000

In this paper, a systematic design is proposed to determine fuzzy system structure and learning its parameters, from a set of given training examples. In particular, two fundamental problems concerning fuzzy system modeling are addressed: 1) fuzzy rule parameter optimization and 2) the identification of system structure (i.e., the number of membership… (More)

- José Luis Bernier, Antonio F. Díaz, +4 authors Julio Ortega
- Neural Processing Letters
- 2003

In previous work we have derived a magnitude termed the 'Mean Squared Sensitivity' (MSS) to predict the performance degradation of a MLP affected by perturbations in different parameters. The present Letter continues the same line of researching, applying a similar methodology to deal with RBF networks and to study the implications when they are affected by… (More)