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Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

  • Kartonierter Einband
  • 112 Seiten
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In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approa... Weiterlesen
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Beschreibung

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.



Introduces a new model of a modular neural network

based on a granular approach

Serves as reference

book for scientists and engineers interested in applying soft computing

Presents recent research



Klappentext

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.



Inhalt
Introduction.- Background and Theory.- Proposed Method.- Application to Human Recognition.- Experimental Results.- Conclusions.

Produktinformationen

Titel: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
Autor:
EAN: 9783319288611
ISBN: 331928861X
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Allgemeines & Lexika
Anzahl Seiten: 112
Gewicht: 184g
Größe: H235mm x B155mm x T6mm
Jahr: 2016
Untertitel: Englisch
Auflage: 1st ed. 2016

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