Table of contents

  1. Front Matter
    Pages i-viii
  2. Daniela Sanchez, Patricia Melin
    Pages 1-3
  3. Daniela Sanchez, Patricia Melin
    Pages 5-11
  4. Daniela Sanchez, Patricia Melin
    Pages 13-36
  5. Daniela Sanchez, Patricia Melin
    Pages 37-40
  6. Daniela Sanchez, Patricia Melin
    Pages 41-80
  7. Daniela Sanchez, Patricia Melin
    Pages 81-81
  8. Back Matter
    Pages 83-101

About this book


In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.


Computational Intelligence Granular Neural Networks Fuzzy Aggregation Granular Computing Hierarchical Genetic Algorithms Soft Computing

Authors and affiliations

  • Daniela Sanchez
    • 1
  • Patricia Melin
    • 2
  1. 1.Division of Graduate StudiesTijuana Institute of Tech,Div of GraduTijuanaMexico
  2. 2.Div of Gdu Stud,CalzTecn sn,Fra.TomAquTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-28861-1
  • Online ISBN 978-3-319-28862-8
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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