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LEARNING AND ARTIFICIAL NEURAL NETWORKS

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HomePublicationsArticlesmetodologia-nuevas-funciones-de-base-para-rnas
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Methodology - New basis functions for artificial neural networks

Description

Desarrollo y estudio de nuevas funciones de base para los distintos nodos de las Redes Neuronales Artificiales.

  

Publications

  • Generalised Gaussian Radial Basis Function Neural Networks
  • Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classi fication
  • Evolutionary Generalized Radial Basis Function Neural Networks for improving prediction accuracy in gene classification using feature selection
  • Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem
  • MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks
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