Téléchargez le livre : Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2016-02-23

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Description

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.
Pages
101 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2016-02-23
Marque
Springer
EAN papier
9783319288611
EAN PDF
9783319288628
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
2990 Ko
Prix
51,04 €
EAN EPUB
9783319288628
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
1864 Ko
Prix
51,04 €

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