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Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications

  • Beatriz González
  • Patricia MelinEmail author
  • Fevrier Valdez
  • German Prado-Arechiga
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 749)

Abstract

In this paper we consider the problem of optimizing ensemble neural networks for pattern recognition with Type-1 and Type-2 fuzzy logic for parameter adaptation in the gravitational search algorithm. The database to be used is of echocardiography images, since these images are very important in clinical echocardiography, and these images help the doctors to diagnose cardiac diseases, as well as to prevent this type of diseases in patient treatment.

Keywords

Gravitational search algorithm Type-2 fuzzy logic Pattern recognition 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Beatriz González
    • 1
  • Patricia Melin
    • 1
    Email author
  • Fevrier Valdez
    • 1
  • German Prado-Arechiga
    • 2
  1. 1.Tijuana Institute of Technology, Calzada Tecnologico s/nTijuanaMexico
  2. 2.Cardio-DiagnosticoTijuanaMexico

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